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1.
J Biomol Struct Dyn ; 40(4): 1736-1747, 2022 03.
Article in English | MEDLINE | ID: mdl-33073714

ABSTRACT

HIV-1 protease (HIV-1 PR) is an essential enzyme for the replication process of its virus, and therefore considered an important target for the development of drugs against the acquired immunodeficiency syndrome (AIDS). Our previous study shows that the catalytic mechanism of subtype B/C-SA HIV-1 PR follows a one-step concerted acyclic hydrolysis reaction process using a two-layered ONIOM B3LYP/6-31++G(d,p) method. This present work is aimed at exploring the proposed mechanism of the proteolysis catalyzed by HIV-1 PR and to ensure our proposed mechanism is not an artefact of a single theoretical technique. Hence, we present umbrella sampling method that is suitable for calculating potential mean force (PMF) for non-covalent ligand/substrate-enzyme association/dissociation interactions which provide thermodynamic details for molecular recognition. The free activation energy results were computed in terms of PMF analysis within the hybrid QM(DFTB)/MM approach. The theoretical findings suggest that the proposed mechanism corresponds in principle with experimental data. Given our observations, we suggest that the QM/MM MD method can be used as a reliable computational technique to rationalize lead compounds against specific targets such as the HIV-1 protease.


Subject(s)
HIV Protease Inhibitors , HIV-1 , HIV Protease/chemistry , HIV Protease Inhibitors/chemistry , HIV-1/metabolism , Molecular Dynamics Simulation , Thermodynamics
2.
J Biomol Struct Dyn ; 40(17): 7645-7655, 2022 10.
Article in English | MEDLINE | ID: mdl-33719919

ABSTRACT

Mycobacterium tuberculosis cell wall is intricate and impermeable to many agents. A D, D-carboxypeptidase (DacB1) is one of the enzymes involved in the biosynthesis of cell wall peptidoglycan and catalyzes the terminal D-alanine cleavage from pentapeptide precursors. Catalytic activity and mechanism by which DacB1 functions is poorly understood. Herein, we investigated the acylation mechanism of DacB1 by ß-lactams using a 6-membered ring transition state model that involves a catalytic water molecule in the reaction pathway. The full transition states (TS) optimization plus frequency were achieved using the ONIOM (B3LYP/6-31 + G(d): AMBER) method. Subsequently, the activation free energies were computed via single-point calculations on fully optimized structures using B3LYP/6-311++(d,p): AMBER and M06-2X/6-311++(d,p): AMBER with an electronic embedding scheme. The 6-membered ring transition state is an effective model to examine the inactivation of DacB1 via acylation by ß-lactams antibiotics (imipenem, meropenem, and faropenem) in the presence of the catalytic water. The ΔG# values obtained suggest that the nucleophilic attack on the carbonyl carbon is the rate-limiting step with 13.62, 19.60 and 30.29 kcal mol-1 for Imi-DacB1, Mero-DacB1 and Faro-DacB1, respectively. The electrostatic potential (ESP) and natural bond orbital (NBO) analysis provided significant electronic details of the electron-rich region and charge delocalization, respectively, based on the concerted 6-membered ring transition state. The stabilization energies of charge transfer within the catalytic reaction pathway concurred with the obtained activation free energies. The outcomes of this study provide important molecular insight into the inactivation of D, D-carboxypeptidase by ß-lactams.Communicated by Ramaswamy H. Sarma.


Subject(s)
Mycobacterium tuberculosis , Peptidyl Transferases , Acylation , Alanine/pharmacology , Anti-Bacterial Agents/pharmacology , Carbon , Carboxypeptidases/metabolism , Imipenem/pharmacology , Meropenem/pharmacology , Monobactams/pharmacology , Peptidoglycan/metabolism , Peptidyl Transferases/chemistry , Peptidyl Transferases/metabolism , Water , beta-Lactams/chemistry , beta-Lactams/pharmacology
3.
Phys Chem Chem Phys ; 22(4): 2530-2539, 2020 Jan 28.
Article in English | MEDLINE | ID: mdl-31942584

ABSTRACT

It is well known that understanding the catalytic mechanism of HIV-1 PR is the rationale on which its inhibitors were developed; therefore, a better understanding of the mechanism of natural substrate hydrolysis is important. Herein, the reaction mechanism of HIV-1 natural substrates with subtypes B and common mutant in South Africa (subtype C-SA) protease were studied through transition state modelling, using a general acid-general base (GA-GB) one-step concerted process. The activation free energies of enzyme-substrate complexes were compared based on their rate of hydrolysis using a two-layered ONIOM (B3LYP/6-31++G(d,p):AMBER) method. We expanded our computational model to obtain a better understanding of the mechanism of hydrolysis as well as how the enzyme recognises or chooses the cleavage site of the scissile bonds. Using this model, a potential substrate-based inhibitor could be developed with better potency. The calculated activation energies of natural substrates in our previous study correlated well with experimental data. A similar trend was observed for the Gag and Gag-Pol natural substrates in the present work for both enzyme complexes except for the PR-RT substrate. Natural bond orbital (NBO) analysis was also applied to determine the extent of charge transfer within the QM part of both enzymes considered and the PR-RT natural substrate. The result of this study shows that the method can be utilized as a dependable computational technique to rationalize lead compounds against specific targets.


Subject(s)
HIV Protease/metabolism , HIV Reverse Transcriptase/metabolism , Molecular Dynamics Simulation , Quantum Theory , HIV-1/enzymology , Hydrogen Bonding , Hydrolysis , Kinetics , Protein Binding , Substrate Specificity , Thermodynamics
4.
Curr Med Chem ; 27(15): 2514-2549, 2020.
Article in English | MEDLINE | ID: mdl-30421668

ABSTRACT

Current investigations on the Human Immunodeficiency Virus Protease (HIV-1 PR) as a druggable target towards the treatment of AIDS require an update to facilitate further development of promising inhibitors with improved inhibitory activities. For the past two decades, up to 100 scholarly reports appeared annually on the inhibition and catalytic mechanism of HIV-1 PR. A fundamental literature review on the prerequisite of HIV-1 PR action leading to the release of the infectious virion is absent. Herein, recent advances (both computationally and experimentally) on the recognition mode and reaction mechanism of HIV-1 PR involving its natural targets are provided. This review features more than 80 articles from reputable journals. Recognition of the natural Gag and Gag-Pol cleavage junctions by this enzyme and its mutant analogs was first addressed. Thereafter, a comprehensive dissect of the enzymatic mechanism of HIV-1 PR on its natural polypeptide sequences from literature was put together. In addition, we highlighted ongoing research topics in which in silico methods could be harnessed to provide deeper insights into the catalytic mechanism of the HIV-1 protease in the presence of its natural substrates at the molecular level. Understanding the recognition and catalytic mechanism of HIV-1 PR leading to the release of an infective virion, which advertently affects the immune system, will assist in designing mechanismbased inhibitors with improved bioactivity.


Subject(s)
HIV-1 , HIV Protease , HIV Protease Inhibitors , Humans
5.
Curr Med Chem ; 27(19): 3250-3267, 2020.
Article in English | MEDLINE | ID: mdl-30501595

ABSTRACT

Peptidoglycan, the exoskeleton of bacterial cell and an essential barrier that protects the cell, is synthesized by a pathway where the final steps are catalysed by transpeptidases. Knowledge of the structure and function of these vital enzymes that generate this macromolecule in M. tuberculosis could facilitate the development of potent lead compounds against tuberculosis. This review summarizes the experimental and computational studies to date on these aspects of transpeptidases in M. tuberculosis that have been identified and validated. The reported structures of L,D- and D,D-transpeptidases, as well as their functionalities, are reviewed and the proposed enzymatic mechanisms for L,D-transpeptidases are summarized. In addition, we provide bioactivities of known tuberculosis drugs against these enzymes based on both experimental and computational approaches. Advancing knowledge about these prominent targets supports the development of new drugs with novel inhibition mechanisms overcoming the current need for new drugs against tuberculosis.


Subject(s)
Mycobacterium tuberculosis , Bacterial Proteins , Cell Wall , Peptidoglycan , Peptidyl Transferases
6.
J Mol Model ; 25(11): 328, 2019 Oct 28.
Article in English | MEDLINE | ID: mdl-31656981

ABSTRACT

Virtual screening is a useful in silico approach to identify potential leads against various targets. It is known that carbapenems (doripenem and faropenem) do not show any reasonable inhibitory activities against L,D-transpeptidase 5 (LdtMt5) and also an adduct of meropenem exhibited slow acylation. Since these drugs are active against L,D-transpeptidase 2 (LdtMt2), understanding the differences between these two enzymes is essential. In this study, a ligand-based virtual screening of 12,766 compounds followed by molecular dynamics (MD) simulations was applied to identify potential leads against LdtMt5. To further validate the obtained virtual screening ranking for LdtMt5, we screened the same libraries of compounds against LdtMt2 which had more experimetal and calculated binding energies reported. The observed consistency between the binding affinities of LdtMt2 validates the obtained virtual screening binding scores for LdtMt5. We subjected 37 compounds with docking scores ranging from - 7.2 to - 9.9 kcal mol-1 obtained from virtual screening for further MD analysis. A set of compounds (n = 12) from four antibiotic classes with ≤ - 30 kcal mol-1 molecular mechanics/generalized born surface area (MM-GBSA) binding free energies (ΔGbind) was characterized. A final set of that, all ß-lactams (n = 4), was considered. The outcome of this study provides insight into the design of potential novel leads for LdtMt5. Graphical abstract.


Subject(s)
Antitubercular Agents/pharmacology , Enzyme Inhibitors/pharmacology , Mycobacterium tuberculosis/drug effects , Anti-Bacterial Agents/pharmacology , Ligands , Meropenem/pharmacology , Molecular Docking Simulation/methods , Molecular Dynamics Simulation , Peptidyl Transferases/antagonists & inhibitors , Protein Binding/drug effects
7.
J Phys Chem B ; 123(30): 6389-6400, 2019 08 01.
Article in English | MEDLINE | ID: mdl-31283878

ABSTRACT

The Human Immunodeficiency Virus type 1 (HIV-1) protease is a crucial target for HIV/AIDS treatment, and understanding its catalytic mechanism is the basis on which HIV-1 enzyme inhibitors are developed. Several experimental studies have indicated that HIV-1 protease facilitates the cleavage of the Gag and Gag-Pol polyproteins and it is highly selective with regard to the cleaved amino acid precursors and physical parameters. However, the main theoretical principles of substrate specificity and recognition remain poorly understood theoretically. By means of a one-step concerted transition state modeling, the recognition of natural substrates by HIV-1 PR subtypes (B and C-SA) was studied. This was carried out to compare the activation free energies at varying peptide bond regions (scissile and nonscissile) within the polypeptide sequence using ONIOM calculations. We studied both P3-P3' and P5-P5' natural substrate systems. For P3-P3' substrates, excellent recognition was observed for the MA-CA family but not for the RH-IN substrates. Satisfactory recognition for the latter was only observed for the longer sequence (P5-P5') after the substrate was subjected to an MD run to maximize the interaction between the enzyme and the substrate. These results indicate that both sequence and structure are important for correct scissile bond recognition of these natural substrates.


Subject(s)
HIV Protease/chemistry , HIV-1/enzymology , Amino Acid Sequence , HIV Protease/metabolism , Hydrogen-Ion Concentration , Models, Molecular , Protein Conformation , Substrate Specificity , Thermodynamics
8.
Chemphyschem ; 20(9): 1126-1134, 2019 05 03.
Article in English | MEDLINE | ID: mdl-30969480

ABSTRACT

ß-lactam antibiotics, which are used to treat infectious diseases, are currently the most widely used class of antibiotics. This study focused on the chemical reactivity of five- and six-membered ring systems attached to the ß-lactam ring. The ring strain energy (RSE), force constant (FC) of amide (C-N), acylation transition states and second-order perturbation stabilization energies of 13 basic structural units of ß-lactam derivatives were computed using the M06-2X and G3/B3LYP multistep method. In the ring strain calculations, an isodesmic reaction scheme was used to obtain the total energies. RSE is relatively greater in the five-(1a-2c) compared to the six-membered ring systems except for 4b, which gives a RSE that is comparable to five-membered ring lactams. These variations were also observed in the calculated inter-atomic amide bond distances (C-N), which is why the six-membered ring lactams C-N bond are more rigid than those with five-membered ring lactams. The calculated ΔG# values from the acylation reaction of the lactams (involving the S-H group of the cysteine active residue from L,D transpeptidase 2) revealed a faster rate of C-N cleavage in the five-membered ring lactams especially in the 1-2 derivatives (17.58 kcal mol-1 ). This observation is also reflected in the calculated amide bond force constant (1.26 mDyn/A) indicating a weaker bond strength, suggesting that electronic factors (electron delocalization) play more of a role on reactivity of the ß-lactam ring, than ring strain.


Subject(s)
Anti-Bacterial Agents/chemistry , Peptidyl Transferases/metabolism , beta-Lactams/chemistry , Acylation , Computer Simulation , Models, Chemical , Models, Molecular , Molecular Structure , Peptidyl Transferases/chemistry , Quantum Theory
9.
Article in English | MEDLINE | ID: mdl-29990200

ABSTRACT

Exploring different quantum chemical quantities for lead compounds is an ongoing approach in identifying crucial structural activity related features that are contributing into their biological activities. Herein, activity-related quantum chemical calculations were performed for the selected estrogenic stilbene derivatives using density functional theory (DFT) with B3LYP functional and 6-311++G** basis set. In addition, specific activity-related geometry-independent drug-like properties are discussed for these derivatives. To obtain the mathematical model that correlates the chemical descriptors with their measured estrogenic activities, the quantitative structure activity relationship (QSAR) is established using multiple linear regression (MLR) and support vector regression (SVR) methods. Satisfactory fit with a reasonable regression correlation coefficient (${\rm{R}}^{2}= 0.78$R2=0.78) between predicted and experimental $pEC_{50}$pEC50 values is observed using MLR method. The present study identifies the essential physicochemical descriptors that effectively contribute in the estrogenic activity. The applied approach provides helpful insight into the designing novel estrogenic agents with improved anticancer activities.


Subject(s)
Antineoplastic Agents , Estrogens , Stilbenes , Antineoplastic Agents/chemistry , Antineoplastic Agents/metabolism , Density Functional Theory , Drug Discovery , Estrogens/chemistry , Estrogens/metabolism , Models, Molecular , Quantitative Structure-Activity Relationship , Static Electricity , Stilbenes/chemistry , Stilbenes/metabolism
10.
J Mol Graph Model ; 87: 204-210, 2019 03.
Article in English | MEDLINE | ID: mdl-30554066

ABSTRACT

Tuberculosis (TB) is one of the world's deadliest diseases resulting from infection by the bacterium, Mycobacterium tuberculosis (M.tb). The L,D-transpeptidase enzymes catalyze the synthesis of 3 → 3 transpeptide linkages which are predominant in the peptidoglycan of the M.tb cell wall. Carbapenems is class of ß-lactams that inactivate L,D-transpeptidases by acylation, although differences in antibiotic side chains modulate drug binding and acylation rates. Herein, we used a two-layered our Own N-layer integrated Molecular Mechanics ONIOM method to investigate the catalytic mechanism of L,D-transpeptidase 5 (LdtMt5) by ß-lactam derivatives. LdtMt5 complexes with six ß-lactams, ZINC03788344 (1), ZINC02462884 (2), ZINC03791246 (3), ZINC03808351 (4), ZINC03784242 (5) and ZINC02475683 (6) were simulated. The QM region (high-level) comprises the ß-lactam, one water molecule and the Cys360 catalytic residue, while the rest of the LdtMt5 residues were treated with AMBER force field. The activation energies (ΔG#) were calculated with B3LYP, M06-2X and ωB97X density functionals with 6-311++G(2d, 2p) basis set. The ΔG# for the acylation of LdtMt5 by the selected ß-lactams were obtained as 13.67, 20.90, 22.88, 24.29, 27.86 and 28.26 kcal mol-1respectively. Several of the compounds showed an improved ΔG# when compared to the previously calculated energies for imipenem and meropenem for the acylation step for LdtMt5. This model provides further validation of the catalytic inhibition mechanism of LDTs with atomistic detail.


Subject(s)
Peptidyl Transferases/chemistry , Quantitative Structure-Activity Relationship , beta-Lactams/chemistry , Anti-Bacterial Agents/chemistry , Anti-Bacterial Agents/pharmacology , Bacterial Proteins/chemistry , Molecular Conformation , Molecular Docking Simulation , Molecular Dynamics Simulation , Molecular Structure , Peptidyl Transferases/antagonists & inhibitors , beta-Lactams/pharmacology
11.
Tuberculosis (Edinb) ; 113: 222-230, 2018 12.
Article in English | MEDLINE | ID: mdl-30514506

ABSTRACT

Mycobacterium tuberculosis is the causative agent of Tuberculosis. Formation of 3 → 3 crosslinks in the peptidoglycan layer of M. tuberculosis is catalyzed by l,d-transpeptidases. These enzymes can confer resistance against classical ß-lactams that inhibit enzymes that generate 4 → 3 peptidoglycan crosslinks. The focus of this study is to investigate the catalytic role of water molecules in the acylation mechanism of the ß-lactam ring within two models; 4- and 6-membered ring systems using two-layered our Own N-layer integrated Molecular Mechanics ONIOM (B3LYP/6-311++G(2d,2p): AMBER) model. The obtained thermochemical parameters revealed that the 6-membered ring model best describes the inhibition mechanism of acylation which indicates the role of water in the preference of 6-membered ring reaction pathway. This finding is in accordance with experimental data for the rate-limiting step of cysteine protease with the same class of inhibitor and binding affinity for both inhibitors. As expected, the ΔG# results also reveal that the 6-membered ring reaction pathway is the most favourable. The electrostatic potential (ESP) and the natural bond orbital analysis (NBO) showed stronger interactions in 6-membered ring transition state (TS-6) mechanism involving water in the active site of the enzyme. This study could be helpful in the development of novel antibiotics against l,d-transpeptidase.


Subject(s)
Bacterial Proteins/metabolism , Models, Molecular , Mycobacterium tuberculosis/enzymology , Peptidoglycan/metabolism , Peptidyl Transferases/metabolism , Water/metabolism , Acylation , Anti-Bacterial Agents/chemistry , Anti-Bacterial Agents/metabolism , Anti-Bacterial Agents/pharmacology , Bacterial Proteins/antagonists & inhibitors , Bacterial Proteins/chemistry , Binding Sites , Catalysis , Catalytic Domain , Imipenem/chemistry , Imipenem/metabolism , Imipenem/pharmacology , Kinetics , Meropenem/chemistry , Meropenem/metabolism , Meropenem/pharmacology , Molecular Structure , Mycobacterium tuberculosis/drug effects , Peptidyl Transferases/antagonists & inhibitors , Peptidyl Transferases/chemistry , Protein Binding
12.
Chem Biol Drug Des ; 92(5): 1899-1913, 2018 11.
Article in English | MEDLINE | ID: mdl-30003668

ABSTRACT

HIV-1 protease (HIV PR) is considered as one of the most attractive targets for the treatment of HIV and the impact of flap dynamics of HIV PR on the binding affinities of protease inhibitors (PIs) is a crucial ongoing research field. Recently, our research group evaluated the binding affinities of different FDA approved PIs against the South African HIV-1 subtype C (C-SA) protease (PR). The CSA-HIV PR displayed weaker binding affinity for most of the clinical PIs compared to HIV-1 B subtype for West and Central Europe, the Americas. In the current work, the flap dynamics of four different systems of HIV-1 C-SA PR complexed to FDA approved second generation PIs and its impact on binding was explored over the molecular dynamic trajectories. It was observed that the interactions of the selected drugs with the binding site residues of the protease may not be the major contributor for affinity towards PIs. Various post-MD analyses were performed, also entropic contributions, solvation free energies and hydrophobic core formation interactions were studied to assess how the flap dynamics of C-SA PR which is affected by such factors. From these contributions, large van der Waals interactions and low solvation free energies were found to be major factors for the higher activity of ATV against C-SA HIV PR. Furthermore, a comparatively stable hydrophobic core may be responsible for higher stability of the PR flaps of the ATV complex. The outcome of this study provides significant guidance to how the flap dynamics of C-SA PR is affected by various factors as a result of the binding affinity of various protease inhibitors. It will also assist with the design of potent inhibitors against C-SA HIV PR that apart from binding in the active site of PR can interacts with the flaps to prevent opening of the flaps resulting in inactivation of the protease.


Subject(s)
HIV Protease Inhibitors/chemistry , HIV Protease/chemistry , HIV-1/enzymology , Molecular Dynamics Simulation , Binding Sites , Catalytic Domain , Genotype , HIV Protease/metabolism , HIV Protease Inhibitors/metabolism , HIV-1/genetics , Humans , Hydrogen Bonding , Principal Component Analysis , South America , Thermodynamics
13.
J Comput Aided Mol Des ; 32(6): 687-701, 2018 06.
Article in English | MEDLINE | ID: mdl-29845435

ABSTRACT

Tuberculosis remains a dreadful disease that has claimed many human lives worldwide and elimination of the causative agent Mycobacterium tuberculosis also remains elusive. Multidrug-resistant TB is rapidly increasing worldwide; therefore, there is an urgent need for improving the current antibiotics and novel drug targets to successfully curb the TB burden. L,D-Transpeptidase 2 is an essential protein in Mtb that is responsible for virulence and growth during the chronic stage of the disease. Both D,D- and L,D-transpeptidases are inhibited concurrently to eradicate the bacterium. It was recently discovered that classic penicillins only inhibit D,D-transpeptidases, while L,D-transpeptidases are blocked by carbapenems. This has contributed to drug resistance and persistence of tuberculosis. Herein, a hybrid two-layered ONIOM (B3LYP/6-31G+(d): AMBER) model was used to extensively investigate the binding interactions of LdtMt2 complexed with four carbapenems (biapenem, imipenem, meropenem, and tebipenem) to ascertain molecular insight of the drug-enzyme complexation event. In the studied complexes, the carbapenems together with catalytic triad active site residues of LdtMt2 (His187, Ser188 and Cys205) were treated at with QM [B3LYP/6-31+G(d)], while the remaining part of the complexes were treated at MM level (AMBER force field). The resulting Gibbs free energy (ΔG), enthalpy (ΔH) and entropy (ΔS) for all complexes showed that the carbapenems exhibit reasonable binding interactions towards LdtMt2. Increasing the number of amino acid residues that form hydrogen bond interactions in the QM layer showed significant impact in binding interaction energy differences and the stabilities of the carbapenems inside the active pocket of LdtMt2. The theoretical binding free energies obtained in this study reflect the same trend of the experimental  observations. The electrostatic, hydrogen bonding and Van der Waals interactions between the carbapenems and LdtMt2 were also assessed. To further examine the nature of intermolecular interactions for carbapenem-LdtMt2 complexes, AIM and NBO analysis were performed for the QM region (carbapenems and the active residues of LdtMt2) of the complexes. These analyses revealed that the hydrogen bond interactions and charge transfer from the bonding to anti-bonding orbitals between catalytic residues of the enzyme and selected ligands enhances the binding and stability of carbapenem-LdtMt2 complexes. The two-layered ONIOM (B3LYP/6-31+G(d): Amber) model was used to evaluate the efficacy of FDA approved carbapenems antibiotics towards LdtMt2.


Subject(s)
Anti-Bacterial Agents/chemistry , Antitubercular Agents/chemistry , Bacterial Proteins/chemistry , Carbapenems/chemistry , Mycobacterium tuberculosis/enzymology , Peptidyl Transferases/chemistry , Catalytic Domain , Hydrogen Bonding , Peptidyl Transferases/antagonists & inhibitors , Protein Binding , Protein Conformation , Quantum Theory , Stereoisomerism , Thermodynamics
14.
J Comput Aided Mol Des ; 32(3): 459-471, 2018 03.
Article in English | MEDLINE | ID: mdl-29397520

ABSTRACT

The aspartate protease of the human immune deficiency type-1 virus (HIV-1) has become a crucial antiviral target in which many useful antiretroviral inhibitors have been developed. However, it seems the emergence of new HIV-1 PR mutations enhances drug resistance, hence, the available FDA approved drugs show less activity towards the protease. A mutation and insertion designated L38L↑N↑L PR was recently reported from subtype of C-SA HIV-1. An integrated two-layered ONIOM (QM:MM) method was employed in this study to examine the binding affinities of the nine HIV PR inhibitors against this mutant. The computed binding free energies as well as experimental data revealed a reduced inhibitory activity towards the L38L↑N↑L PR in comparison with subtype C-SA HIV-1 PR. This observation suggests that the insertion and mutations significantly affect the binding affinities or characteristics of the HIV PIs and/or parent PR. The same trend for the computational binding free energies was observed for eight of the nine inhibitors with respect to the experimental binding free energies. The outcome of this study shows that ONIOM method can be used as a reliable computational approach to rationalize lead compounds against specific targets. The nature of the intermolecular interactions in terms of the host-guest hydrogen bond interactions is discussed using the atoms in molecules (AIM) analysis. Natural bond orbital analysis was also used to determine the extent of charge transfer between the QM region of the L38L↑N↑L PR enzyme and FDA approved drugs. AIM analysis showed that the interaction between the QM region of the L38L↑N↑L PR and FDA approved drugs are electrostatic dominant, the bond stability computed from the NBO analysis supports the results from the AIM application. Future studies will focus on the improvement of the computational model by considering explicit water molecules in the active pocket. We believe that this approach has the potential to provide information that will aid in the design of much improved HIV-1 PR antiviral drugs.


Subject(s)
Anti-HIV Agents/chemistry , HIV Protease Inhibitors/chemistry , HIV Protease/genetics , Models, Molecular , Drug Approval , Drug Resistance, Viral , Hydrogen Bonding , Mutation , Protein Binding , Structure-Activity Relationship , Thermodynamics , United States , United States Food and Drug Administration , Water/chemistry
15.
Mol Biosyst ; 13(6): 1223-1234, 2017 Jun 01.
Article in English | MEDLINE | ID: mdl-28480928

ABSTRACT

Despite the advances in tuberculosis treatment, TB is still one the most deadly infectious diseases and remains a major global health quandary. Mycobacterium tuberculosis (Mtb) is the only known mycobacterium with a high content of 3→3 crosslinks in the biosynthesis of peptidoglycan, which is negligible in most bacterial species. An Mtb lacking LdtMt2 leads to alteration of the colony morphology and loss of virulence which makes this enzyme an attractive target. Regardless of the vital role of LdtMt2 for cell wall survival, the impact of ligand binding on the dynamics of the ß-hairpin flap is still unknown. Understanding the structural and dynamical behaviour of the flap regions provides clear insight into the design of the effective inhibitors against LdtMt2. Carbapenems, an specific class of ß-lactam family, have been shown to inactivate this enzyme. Herein a comprehensive investigation of the flap dynamics of LdtMt2 complex with substrate and three carbapenems namely, ertapenem, imipenem and meropenem is discussed and analyzed for the first account using 140 ns molecular dynamics simulations. The structural features (RMSD, RMSF and Rg) derived by MD trajectories were analyzed. Distance analysis, particularly tip-tip SER135-ASN167 index, identified conformational changes in terms of flap opening and closure within binding process. Principal component analysis (PCA) was employed to qualitatively understand the divergent effects of different inhibitors on the dominant motion of each residue. To probe different internal dynamics induced by ligand binding, dynamic cross-correlation marix (DCCM) analysis was used. The binding free energies of the selected complexes were assessed using MM-GBSA method and per residue free energy decomposition analysis were performed to characterize the contribution of the key residues to the total binding free energies.


Subject(s)
Molecular Dynamics Simulation , Mycobacterium tuberculosis/enzymology , Carbapenems/pharmacology , Ertapenem , Imipenem/pharmacology , Meropenem , Principal Component Analysis , Thienamycins/pharmacology , beta-Lactams/pharmacology
16.
Mol Biosyst ; 12(11): 3385-3395, 2016 10 18.
Article in English | MEDLINE | ID: mdl-27722739

ABSTRACT

Regardless of advances in anti-HIV therapy, HIV infection remains an immense challenge due to the rapid onset of mutation instigating drug resistance. Rilpivirine is a second generation di-aryl pyrimidine (DAPY) derivative, known to effectively inhibit wild-type (WT) as well as various mutant HIV-1 reverse transcriptase (RT). In this study, a cumulative 240 ns of molecular dynamic (MD) simulations of WT HIV-1 RT and its corresponding K103N mutated form, complexed with rilpivirine, were performed in solution. Conformational analysis of the NNRTI inside the binding pocket (NNIBP) revealed the ability of rilpivirine to adopt different conformations, which is possibly the reason for its reasonable activity against mutant HIV-1 RT. Binding free energy (MM-PB/GB SA) calculations of rilpivirine with mutant HIV-1 RT are in agreement with experimental data. The dynamics of interaction patterns were investigated based on the MD simulations using dynophores, a novel approach for MD-based ligand-target interaction mapping. The results from this interaction profile analysis suggest an alternate interaction between the linker N atom of rilpivirine and Lys 101, potentially providing the stability for ligand binding. PCA analysis and per residue fluctuation has highlighted the significant role of flexible thumb and finger sub-domains of RT in its biological activity. This study investigated the underlying reason for rilpivirine's improved inhibitory profile against mutant RT, which could be helpful to understand the molecular basis of HIV-1 RT drug resistance and design novel NNRTIs with improved drug resistance tolerance.


Subject(s)
Amino Acid Substitution , Codon , HIV Reverse Transcriptase/chemistry , HIV Reverse Transcriptase/genetics , Molecular Docking Simulation , Molecular Dynamics Simulation , Reverse Transcriptase Inhibitors/chemistry , Binding Sites , Drug Resistance, Viral , HIV Reverse Transcriptase/antagonists & inhibitors , Ligands , Molecular Conformation , Molecular Structure , Protein Binding , Protein Interaction Domains and Motifs , Reverse Transcriptase Inhibitors/pharmacology , Structure-Activity Relationship
17.
J Mol Model ; 22(10): 235, 2016 Oct.
Article in English | MEDLINE | ID: mdl-27604278

ABSTRACT

Implementation of catalysts to drive reactions from reactants to products remains a burden to synthetic and organic chemists. In spite of investigations into the kinetics and mechanism of catalyzed esterification reactions, less effort has been made to explore the possibility of an uncatalyzed esterification process. Therefore, a comprehensive mechanistic perspective for the uncatalyzed mechanism at the molecular level is presented. Herein, we describe the non-catalyzed esterification reaction of acetic acid and its halide derivatives (XAc, where X= OH, F, Cl, Br, I) with methanol (MeOH) through a concerted process. The reaction in vacuum and methanol was performed using the density functional theory (DFT) method at M06-2X level with def2-TZVP basis set after a careful literature survey and computations. Esterification through cyclic 4- or 6-membered transition state structures in one- or two-step concerted mechanisms were investigated. The present study outlines the possible cyclic geometry conformations that may occur during experiments at simple ratio of reactants. The free energy of activation for acetic acid and acetyl chloride are 36 kcal mol(-1) and 21 kcal mol(-1), respectively. These are in good agreement with available experimental results from the literature. The selected quantum chemical descriptors proved to be useful tools in chemical reactivity prediction for the reaction mechanism. This quantum mechanics study can serve as a necessary step towards revisiting uncatalyzed reaction mechanisms in some classical organic reactions.

18.
Ecotoxicol Environ Saf ; 128: 52-60, 2016 Jun.
Article in English | MEDLINE | ID: mdl-26890190

ABSTRACT

The application of molecular descriptors in describing Quantitative Structure Property Relationships (QSPR) for the estimation of vapor pressure (VP) of pesticides is of ongoing interest. In this study, QSPR models were developed using multiple linear regression (MLR) methods to predict the vapor pressure values of 162 pesticides. Several feature selection methods, namely the replacement method (RM), genetic algorithms (GA), stepwise regression (SR) and forward selection (FS), were used to select the most relevant molecular descriptors from a pool of variables. The optimum subset of molecular descriptors was used to build a QSPR model to estimate the vapor pressures of the selected pesticides. The Replacement Method improved the predictive ability of vapor pressures and was more reliable for the feature selection of these selected pesticides. The results provided satisfactory MLR models that had a satisfactory predictive ability, and will be important for predicting vapor pressure values for compounds with unknown values. This study may open new opportunities for designing and developing new pesticide.


Subject(s)
Pesticides/chemistry , Quantitative Structure-Activity Relationship , Vapor Pressure , Linear Models , Models, Chemical
19.
J Biomol Struct Dyn ; 34(11): 2399-417, 2016 Nov.
Article in English | MEDLINE | ID: mdl-26612108

ABSTRACT

An alarming rise of multidrug-resistant Mycobacterium tuberculosis strains and the continuous high global morbidity of tuberculosis have reinvigorated the need to identify novel targets to combat the disease. The enzymes that catalyze the biosynthesis of peptidoglycan in M. tuberculosis are essential and noteworthy therapeutic targets. In this study, the biochemical function and homology modeling of MurI, MurG, MraY, DapE, DapA, Alr, and Ddl enzymes of the CDC1551 M. tuberculosis strain involved in the biosynthesis of peptidoglycan cell wall are reported. Generation of the 3D structures was achieved with Modeller 9.13. To assess the structural quality of the obtained homology modeled targets, the models were validated using PROCHECK, PDBsum, QMEAN, and ERRAT scores. Molecular dynamics simulations were performed to calculate root mean square deviation (RMSD) and radius of gyration (Rg) of MurI and MurG target proteins and their corresponding templates. For further model validation, RMSD and Rg for selected targets/templates were investigated to compare the close proximity of their dynamic behavior in terms of protein stability and average distances. To identify the potential binding mode required for molecular docking, binding site information of all modeled targets was obtained using two prediction algorithms. A docking study was performed for MurI to determine the potential mode of interaction between the inhibitor and the active site residues. This study presents the first accounts of the 3D structural information for the selected M. tuberculosis targets involved in peptidoglycan biosynthesis.


Subject(s)
Antitubercular Agents/chemistry , Enzyme Inhibitors/chemistry , Enzymes/chemistry , Models, Molecular , Mycobacterium tuberculosis/enzymology , Amino Acid Sequence , Antitubercular Agents/pharmacology , Binding Sites , Drug Discovery , Enzyme Inhibitors/pharmacology , Ligands , Metabolic Networks and Pathways/drug effects , Molecular Docking Simulation , Molecular Dynamics Simulation , Mycobacterium tuberculosis/drug effects , Peptidoglycan/biosynthesis , Protein Binding , Protein Conformation , Structure-Activity Relationship
20.
Org Biomol Chem ; 13(39): 9993-10006, 2015 Oct 21.
Article in English | MEDLINE | ID: mdl-26289381

ABSTRACT

N-Methylation has a significant impact on improving the oral bioavailability, lipophilicity and aqueous solubility of peptide-based lead drug structures. The selected mono-amino acid derivatives Ac-X-OMe, where X = Gly, Val, Leu, Ile, Phe, Met, Cys, Ser, Asp and His as well as their corresponding N-methylated analogues were studied. The clog P values of all N-methylated peptides are greater than those of native compounds. Quantum chemical calculations were performed to estimate the aqueous solubility of these lipophilic compounds using density functional theory (DFT). To confirm the contribution of dispersion forces on quantum chemical data, the long-range corrected (LC) hybrid density functional (ωB97X-D) was also probed for some amino acid derivatives. The ωB97X functional gave similar results. Our results reveal that after mono N-methylation of the peptide backbone, ΔGsolv becomes more negative (more water soluble) while polarizability and dipole moment are also increased. Natural atomic charges derived by natural bond orbital (NBO) analysis of N, C, and O atoms involved in amide functional group become more positive/(less negative) after N-methylation. All N-methylated amino acids have higher EHOMO (less negative) in comparison with the amino acid analogues, and in all cases N-methylation decreases EHOMO-LUMO. The calculated amide cis/trans activation energies (EA) of all the N-methylated amino acid derivatives were lower than that of native species. N-methylation of these compounds leads to an increase in lipophilicity, aqueous solubility, polarization, dipole moment and lowering of the cis/trans amide energy barrier (EA).


Subject(s)
Amino Acids/chemistry , Peptides/chemistry , Amino Acid Sequence , Methylation , Models, Molecular , Molecular Conformation , Solubility
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