Peptidic Compound as DNA Binding Agent: In Silico Fragment-based Design, Machine Learning, Molecular Modeling, Synthesis, and DNA Binding Evaluation.

BACKGROUND: Cancer remains a global burden, with increasing mortality rates. Current cancer treatments involve controlling the transcription of malignant DNA genes, either directly or indirectly. DNA exhibits various structural forms, including the G-quadruplex (G4), a secondary structure in guanine-rich regions. G4 plays a crucial role in cellular processes by regulating gene expression and telomerase function. Researchers have recently identified G4-stabilizing binding agents as promising anti-cancer compounds. Additionally, peptides have emerged as effective anticancer pharmaceuticals due to their ability to form multiple hydrogen bonds, electrostatic interactions, and van der Waals forces. These properties enable peptides to bind to specific areas of DNA chains selectively. However, despite these advancements, designing G4-binding peptides remains challenging due to a lack of comprehensive information. OBJECTIVE: In our present study, we employed an in silico fragment-based approach to design G4- binding peptides. This innovative method combines machine learning classification, molecular docking, and dynamics simulation. METHODS: AutoDock Vina and Gromacs performed molecular docking and MD simulation, respectively. The machine learning algorithm was implemented by Scikit-learn. Peptide synthesis was performed using the SPPS method. The DNA binding affinity was measured by applying spectrophotometric titration. RESULTS: As a result of this approach, we identified a high-scoring peptide (p10; sequence: YWRWR). The association constant (Ka) between p10 and the ctDNA double helix chain was 4.45 × 105 M-1. Molecular modeling studies revealed that p10 could form a stable complex with the G4 surface. CONCLUSION: The obtained Ka value of 4.45 × 105 M-1 indicates favorable interactions. Our findings highlight the role of machine learning and molecular modeling approaches in designing new G4-binding peptides. Further research in this field could lead to targeted treatments that exploit the unique properties of G4 structures.

Design, synthesis, and molecular dynamics simulation studies of some novel kojic acid fused 2-amino-3-cyano-4H-pyran derivatives as tyrosinase inhibitors.

A novel series of kojic acid fused 2-amino-3-cyano-4H-pyran derivatives were synthesized via a multicomponent reaction involving kojic acid, benzyloxy benzaldehyde, and malonitrile as tyrosinase inhibitors. Subsequently, the structures of the compounds were characterized using FT-IR, 1H-, and 13C-NMR spectroscopic analyses. The designed compounds fall into three series: (1) 4-benzyloxy-phenyl kojopyran 6a-e, (2) 3-benzyloxy- phenyl kojopyran derivatives 6f-j, and (3) 4-benzyloxy-3-methoxy-phenyl kojopyran derivative 6 k-o. The assessment of tyrosinase inhibition activity was conducted using L-Dopa as the substrate. Among synthesized compounds, 2-amino-4-(4-((4-fluorobenzyl)oxy)phenyl)-6-(hydroxymethyl)-8-oxo-4,8-dihydropyrano[3,2-b]pyran-3-carbonitrile (6b) demonstrated the highest antityrosinase activity with a competitive inhibition pattern (IC50 = 7.69 ± 1.99 µM) as compared to the control agent kojic acid (IC50 = 23.64 ± 2.56 µM). Since compound 6b was synthesized as a racemic mixture, in silico studies were performed for both R and S enantiomers. The R- enantiomer showed critical interactions compared with the S-enantiomer. Specifically, it established hydrogen bonds and hydrophobic interactions with crucial and highly conserved amino acids within the enzyme's binding site in the target protein. Moreover, the molecular dynamics simulations revealed that compound 6b demonstrated significant interactions with essential residues of the binding site, resulting in a stable complex throughout the entire simulation run. The drug-like and ADMET properties predictions showed an acceptable profile for compound 6b. Thus, it can serve as a drug candidate to develop more potent antityrosinase agents due to its low toxicity and its high inhibition activity.

Chimgin from Ferula haussknechtii as AChE inhibitor and confirmation of the absolute configuration.

Alzheimer's disease (AD) is the most common cause of dementia worldwide and is classified as a neurodegenerative disorder. From a drug design perspective, natural products (NPs) are more drug-like and are highly compatible with biological systems compared to most synthetic libraries. NPs provide a more efficient and cost-effective approach to new drug discovery. However, the complexity of NPs makes their identification a challenging task. Chimgin, a bicyclic monoterpene with three chiral centers, exhibits a wide range of biological activity. Despite this, the exact structure of chimgin has remained unclear until now. In this study, we quantified the amount of chimgin in Ferula haussknechtii using analytical Reversed-phase high-pressure liquid chromatography equipped with photodiode array detector (RP-HPLC-PDA). Furthermore, we determined the absolute configuration of chimgin through electronic circular dichroism (ECD) spectroscopy and time-dependent density functional theory (TDDFT) calculations. Finally, we evaluated its inhibitory effect on AChE through in vitro and in silico studies. The extraction process yielded an output of 2.82 ± 0.10% with an exact amount of 0.62 ± 0.04 mg of chimgin per 100 g of plant. Based on the results of ECD and TDDFT calculation, the absolute configuration of chimgin was determined to be 1S, 2S, 4S. Chimgin exhibited an inhibitory effect on AChE with an IC50 of 37.43 µM and its mechanism of action was found to be competitive. HighlightsChimgin was isolated from the roots of Ferula haussknechtii.The amount of chimgin in the plant was determined by RP-HPLC-PDA.Its absolute configuration of chimgin was determined using ECD.In vitro acetylcholinesterase activity of the chimgin was evaluated.The docking and molecular dynamic simulation of chimgin was done.Communicated by Ramaswamy H. Sarma.

Ferulago bernardii as a New Source of α-Pinene Binds to ctDNA: In†Silico and in†Vitro Studies.

Ferulago bernardii Tomk & M. Pimen belongs to Apiaceae family. Various species of the Ferulago genus have antioxidant, anticholinesterase, cytotoxic, and antiproliferative effects. In this study, the essential oil of F. bernardii was extracted using the Clevenger apparatus. The essential oil compounds were identified using GC-MS/FID. The interaction between the essential oil and DNA strands was evaluated through spectrophotometric titration. The molecular mechanism of the interaction between the main components of the essential oil and different DNA strands was assessed using molecular dynamics simulation. Based on the results, 92.03±1.20 % of the essential oil consisted of α-pinene. Therefore, the essential oil could serve as a suitable source of α-pinene. α-pinene is a monoterpene hydrocarbon that has various effects, including anti-inflammatory, antioxidant, antimicrobial, and antitumor properties. The binding constant of the essential oil to DNA strands (Ka ) was determined to be 5.40±0.47×10-3  M-1 . Molecular dynamics simulation demonstrated that α-pinene could interact with AT and CG rich DNA strands and indirectly stabilize G-Quadruplex. Given the different applications for α-pinene and its high percentage in the essential oil, it is suggested that researchers pay more attention to F. bernardii in the pharmaceutical, cosmetic, and food industries.

Novel Pyrano[3,2-c]quinoline-1,2,3-triazole Hybrids as Potential Anti-Diabetic Agents: In Vitro α-Glucosidase Inhibition, Kinetic, and Molecular Dynamics Simulation.

In this study, a novel series of pyrano[3,2-c]quinoline-1,2,3-triazole hybrids 8a-o were synthesized and evaluated against the α-glucosidase enzyme. All compounds showed significant in vitro inhibitory activity (IC50 values of 1.19 ± 0.05 to 20.01 ± 0.02 µM) compared to the standard drug acarbose (IC50 = 750.0 µM). Among them, 2-amino-4-(3-((1-benzyl-1H-1,2,3-triazol-4-yl)methoxy)phenyl)-5-oxo-5,6-dihydro-4H-pyrano[3,2-c]quinoline-3-carbonitrile (compound 8k) demonstrated the best inhibitory effect toward α-glucosidase (IC50 = 1.19 ± 0.05 µM) with a competitive pattern of inhibition. Since compound 8k was synthesized as a racemic mixture, molecular docking and dynamics simulations were performed on R- and S-enantiomers of compound 8k. Based on the molecular docking results, both R- and S-enantiomers of compound 8k displayed significant interactions with key residues including catalytic triad (Asp214, Glu276, and Asp349) in the enzyme active site. However, an in silico study indicated that S- and R-enantiomers were inversely located in the enzyme active site. The R-enantiomer formed a more stable complex with a higher binding affinity to the active site of α-glucosidase than that of the S- enantiomer. The benzyl ring in the most stable complex ((R)-compound 8k) was located in the bottom of the binding site and interacted with the enzyme active site, while the pyrano[3,2-c]quinoline moiety occupied the high solvent accessible entrance of the active site. Thus, the synthesized pyrano[3,2-c]quinoline-1,2,3-triazole hybrids seem to be promising scaffolds for the development of novel α-glucosidase inhibitors.

In silico repurposing of CNS drugs for multiple sclerosis.

Multiple sclerosis (MS) is an autoimmune neurodegenerative disease affecting numerous people worldwide. While the relapsing subtypes of MS are to some extent treatable, the disease remains incurable leading to progressive disability. Limited efficacy of current small molecule drugs necessitates development of efficient and safe MS medications. Accordingly, drug repurposing is an invaluable strategy that recognizes new targets for known drugs especially in the field of poorly addressed therapeutic areas. Drug discovery largely depends on the identification of potential binding molecules to the intended biomolecular target(s). In this regard, current study was devoted to in silico repurposing of 263 small molecule CNS drugs to achieve superior binders to some MS-related targets. On the basis of molecular docking scores, thioxanthene and benzisothiazole-based antipsychotics could be identified as potential binders to sphingosine-1-phosphate lyase (S1PL) and cyclophilin D (CypD). Tightest interaction modes were observed for zuclopenthixol-S1PL (ΔGb -7.96 kcal/mol) and lurasidone-CypD (ΔGb -8.84 kcal/mol) complexes. Molecular dynamics (MD) simulations proved the appropriate and stable accommodation of top-ranked drugs inside enzyme binding sites during 100 ns. Hydroxyethyl piperazine of zuclopenthixol and benzisothiazole of lurasidone flipped inside the binding pocket to interact with adjacent polar and apolar residues. Solvent accessible surface area (SASA) fluctuations confirmed the results of binding trajectory analysis and showed that non-polar hydrophobic interactions played significant roles in acquired stabilities. Our results on lurasidone binding pattern were interestingly in accordance with previous reports on X-ray structures of other norbornane maleimide derivatives as CypD inhibitors. According to this, Asn144, Phe102 and Phe155 served as important residues in providing stable binding pose of lurasidone through both exo and endo conformations. Although experimental results are necessary to be achieved, the outcomes of this study proposed the potentiality of some thioxanthene and benzisothiazole-based antipsychotics for binding to S1PL and CypD, respectively, as MS-related targets.

In silico molecular modeling, neuro-behavioral profile, and toxicity assessment of the essential oil of Ferula gummosa Boiss. as an anti-seizure agent.

ETHNOPHARMACOLOGICAL RELEVANCE: Ferula gummosa Boiss., known in Persian as "Baridje," belongs to the Apiaceae family. All parts of this plant, especially the root, contain galbanum. Galbanum, the oleo-gum resin of F. gummosa, is one of the essential traditional herbal medicines in Iran, which is used as a tonic for epilepsy and chorea, memory enhancement, gastrointestinal diseases, and wound healing. AIM OF THE STUDY: We investigated the toxicity, anticonvulsant effects, and molecular modeling of the essential oil (EO) distilled from the oleo-gum resin of F. gummosa. MATERIALS AND METHODS: Gas chromatography-mass spectrometry was used to identify the EO components. The cytotoxicity of EO on HepG2 cell lines was assessed by the MTT method. Male mice were arranged as follows: negative control groups (sunflower oil (10 ml/kg, i.p.) or saline (10 ml/kg, p.o.)), EO groups (0.5, 1, 1.5, and 2.5 ml/kg, p.o.), and positive control groups (ethosuximide (150 mg/kg, p.o.) or diazepam (1.0 or 2 mg/kg, i.p.)). The motor coordination and neurotoxicity of EO were studied using the rota-rod test. Open-field, novel object recognition, and passive avoidance learning tests were used to investigate the effect of EO on locomotor activity and memory function. An acute pentylenetetrazole-induced seizure model was utilized to evaluate the anticonvulsant properties of the EO. The interaction of the EO main components with the GABAA receptor was investigated by coarse-grained molecular dynamics simulations. RESULTS: ß-pinene, sabinene, α-pinene, and ρ-cymene were the main components of EO. The IC50 of the EO at 24, 48, and 72 h was found to be 59.90, 12.96, and 3.93 µl/ml, respectively. No adverse effects were observed in memory, motor coordination, and locomotor activity in mice treated with EO. Administration of EO (1, 1.5, and 2.5 ml/kg) improved survival rates in mice receiving pentylenetetrazole (PTZ; to induce an epileptic seizure). Sabinene was able to bind to the binding site of benzodiazepines at the GABAA receptor. CONCLUSIONS: Acute treatment with the EO of F. gummosa caused antiepileptic effects and could effectively increase the survival rate in PTZ-treated mice with no significant toxicity.

An arginine-rich peptide inhibits AChE: template-based design, molecular modeling, synthesis, and biological evaluation.

Life expectancy is growing especially in developed countries. In this regard, aging-associated diseases such as Alzheimer's disease (AD) are more common. Multi interconnected pathological factors involved in AD demand multi-target therapeutics. AChE, as a well-known target in AD, decreases the acetylcholine (ACh) in cholinergic synapse and, besides, increases the rate of amyloid-beta (Aß) aggregation. To block the destructive effects of AChE on cholinergic neurons in AD, we designed a peptidic inhibitor of the peripheral anionic site (PAS). The PAS plays a crucial role to attract and direct the ACh to the enzyme active site and increase the rate of Aß aggregation by changing the folding state. We utilized the template-based approach in combination with molecular docking, molecular dynamic simulation, and data mining to design a peptide library. Scoring was performed according to binding energy and the interaction profile of AChE inhibitors. The best candidate (p8, RMLRTTRY) was synthesized using solid-phase peptide synthesis, purified by RP-HPLC, and identified by ESI-MS. The inhibitory effect of p8 on AChE was 102.2 ± 15.2 µM. The kinetic and molecular modeling studies indicated the mixed inhibition mechanism for p8. The Arg residues in p8 had an essential role in binding to PAS.

In silico identification of potential Hsp90 inhibitors via ensemble docking, DFT and molecular dynamics simulations.

The molecular chaperone heat shock protein 90 (Hsp90) has emerged as one of the most exciting targets for anticancer drug development and Hsp90 inhibitors are potentially useful chemotherapeutic agents in cancer. Within the current study, Hsp90 inhibitors that entered different phases of clinical trials were subjected to Zinc15 structure query to find similar compounds (≥ 78%). Obtained small molecules (1-29) with defined similarity cut-off were docked into ensemble of Hsp90-α NTDs. Docked complexes were ranked on the basis of binding modes and Gibbs free energies as Hsp90 binders (cut-off point; ΔGb ≤ -12 kcal/mol). Top-ranked compounds were subjected to energy decomposition analysis per residue of binding pocket via density functional theory (DFT) calculations in B3LYP level of theory. Subsequent MD simulations of the top-ranked complexes were performed for 100 ns to explore the stable binding modes during a reasonable period in explicit water. Results of molecular docking and intermolecular binding analysis indicated that H-bond, hydrophobic and salt bridge interactions were determinant forces in complex formation. Compounds 19 and 20 were well accommodated in binding pocket of Hsp90 via relatively varied conformations. It was revealed that Asn51 and Phe138 were key residues that interacted stably to 19 and 20. Although primary mechanism of action for proposed molecules are unknown and yet to be explored, results of the present study revealed key structural features for future structure-guided optimization toward potent inhibitors of Hsp90-α NTD. HighlightsHsp90 inhibitors that entered different phases of clinical trials were subjected to Zinc15 based structure query to afford potential enzyme inhibitors 19 and 20.Quantum chemical calculations confirmed docking results and verified pivotal role of a conserved residues (Asn51, Leu103, Phe138 and Tyr139) in making effective hydrogen bonds.MD simulations of top-ranked docked derivatives revealed the achievement of stable binding modes with less conformational variation of 20 than 19 in the active site of Hsp90-α NTD.H-bond, hydrophobic contacts and salt bridge interactions were determinant forces in binding interactions of in silico hits.Resorcinol and isoxazole were important structural motifs of in silico hits in binding to the active site of Hsp90-α NTD.Communicated by Ramaswamy H. Sarma.

Response Surface Study on Molecular Docking Simulations of Citalopram and Donepezil as Potent CNS Drugs.

Computer-aided drug design provides broad structural modifications to evolving bioactive molecules without an immediate requirement to observe synthetic restraints or tedious protocols. Subsequently, the most promising guidelines with regard to synthetic and biological resources may be focused on upcoming steps. Molecular docking is common in-silico drug design techniques since it predicts ligand-receptor interaction modes and associated binding affinities. Current docking simulations suffer serious constraints in estimating accurate ligand-receptor binding affinities despite several advantages and historical results. Response surface method (RSM) is an efficient statistical approach for modeling and optimization of various pharmaceutical systems. With the aim of unveiling the full potential of RSM in optimizing molecular docking simulations, this study particularly focused on binding affinity prediction of citalopram-serotonin transporter (SERT) and donepezil-acetyl cholinesterase (AChE) complexes. For this purpose, Box-Behnken design of experiments (DOE) was used to develop a trial matrix for simultaneous variations of AutoDock4.2 driven binding affinity data with selected factor levels. Responses of all docking trials were considered as estimated protein inhibition constants with regard to validated data for each drug. The output matrix was subjected to statistical analysis and constructing polynomial quadratic models. Numerical optimization steps to attain ideal docking accuracies revealed that more accurate results might be envisaged through the best combination of factor levels and considering factor interactions. Results of the current study indicated that the application of RSM in molecular docking simulations might lead to optimized docking protocols with more stable estimates of ligand-target interactions and hence better correlation of in-silico in-vitro data.

Antiproliferative effect, alteration of cancer cell cycle progression and potential MET kinase inhibition induced by 3,4-dihydropyrimidin-2(1H)-one C5 amide derivatives.

Cancer continues to be the second leading cause of death worldwide. Discovery of novel therapeutic agents has crucial importance for improvement of our medical management capabilities. Dysregulation of the MET receptor tyrosine kinase pathway plays an important role in cancer progression, making this receptor an attractive molecular target for anticancer drug discovery. In this study, twenty-seven 3,4-dihydropyrimidin-2(1H)-one C5 amide derivatives were synthesized and their cancer cell growth inhibitory activity was examined against MCF-7, HT-29 and MOLT-4 cells and also NIH/3T3 non-cancer cells by MTT assay. The antiproliferative effect of the most potent derivatives were tested against MET-dependent EBC-1 and MKN-45, lung and gastric cancer cell lines, respectively. MET kinase inhibition was measured by a Homogenous Time Resolved Fluorescence (HTRF) Assay. The influence of the test compounds on cell cycle was examined by RNase/PI flow cytometric assay. A number of compounds exhibited considerable antiproliferative effects against breast and colon cancer and leukemia cell lines, relatively sparing non-cancer cells. Some derivatives bearing benzothiazolyl carboxamide moiety at C5 position (15, 21, 23, 31, and 37) showed the highest activities with IC50 values as low as 10.9 µM. These compounds showed antiproliferative effects also against MET-amplified cells and dose-dependently inhibited MET kinase activity. They also induced G0/G1 cell cycle arrest at lower doses and apoptosis at higher doses. Molecular docking and dynamics simulation studies confirmed the interaction of compound 23 with the active site of the MET receptor. These findings demonstrate that 3,4-dihydropyrimidin-2(1H)-one analogues may represent promising targeted anticancer agents.

Identification of a potential SARS-CoV2 inhibitor via molecular dynamics simulations and amino acid decomposition analysis.

Considering lack of validated therapeutic drugs or vaccines against contagious SARS-CoV2, various efforts have been focused on repurposing of existing drugs or identifying new agents. In an attempt to identify new and potential SARS-CoV2 inhibitors targeting specific enzyme of the pathogen, a few induced fit models of SARS-CoV2 main protease (Mpro) including N-aryl amide and aryl sulfonamide based fragments were subjected to a multi-step in silico strategy. Sub-structure query of co-crystallographic fragments provided numerous ZINC15 driven commercially available compounds that entered molecular docking stage to find binding interactions/modes inside Mpro active site. Docking results were reevaluated through time dependent stability of top-ranked ligand-protease complexes by molecular dynamics (MD) simulations within 50 ns. Relative contribution of interacted residues in binding to the most probable binding pose was estimated through amino acid decomposition analysis in B3LYP level of theory with Def2-TZVPP split basis set. In confirmation of docking results, MD simulations revealed less perceptible torsional distortions (more stable binding mode) in binding of ZINC_252512772 (ΔGb -9.18 kcal/mol) into Mpro active site. H-bond interactions and hydrophobic contacts were determinant forces in binding interactions of in silico hit. Quantum chemical calculations confirmed MD results and proved the pivotal role of a conserved residue (Glu166) in making permanent hydrogen bond (98% of MD simulations time) with ZINC_252512772. Drug-like physicochemical properties as well as desirable target binding interactions nominated ZINC_252512772 as a desirable in silico hit for further development toward SARS-CoV2 inhibitors. HighlightsA few N-aryl amide/aryl sulfonamide based fragments were subjected to a multi-step in silico strategy to afford potential SARS-CoV2 Mpro inhibitors.MD simulations revealed less perceptible torsional distortions (more stable binding mode) in binding of ZINC_252512772 (ΔGb -9.18 kcal/mol) into Mpro active site.H-bond interactions and hydrophobic contacts were determinant forces in binding interactions of in silico hit.Quantum chemical calculations confirmed MD results and proved pivotal role of a conserved residue (Glu166) in making permanent hydrogen bond (98% of MD simulations time) with ZINC_252512772.Communicated by Ramaswamy H. Sarma.

In silico design of peptide inhibitors of tubulin: amyloid-ß as a lead compound.

Microtubule is one of the most studied targets in cancer research. Stabilizing and destabilizing of the microtubule by targeting its building block tubulin are common mechanisms of microtubule targeting agents. Cancer associates inversely with Alzheimer's disease (AD). So the rate of developing AD is significantly slower in patients with cancer and vice versa. Amyloid-ß (Aß) peptide inhibits tubulin polymerization and induces apoptotic death of cancer cells. We studied the interactions of Aß with tubulin using protein-protein docking and MD simulation. Aß bond to the vicinity of the vinblastine binding site and interacted with the H6-H7 loop. Interaction of Aß with H6-H7 loop blocked nucleotide exchange and may be attributed as a possible reason for blocking of tubulin polymerization. We designed new Aß-based peptidic inhibitors of tubulin using visual inspection and alanine scanning method. P1 (FRHYHHFFELV) and P9 (HYHHF) bound efficiently to tubulin and also interacted with the H6-H7 loop. Obtained results indicated that proposed peptides could potentially inhibit nucleotide exchange as Aß.Communicated by Ramaswamy H. Sarma.

To be ionized or not to be ionized: the vital role of physicochemical properties of galbanic acid derivatives in AChE assay.

Alzheimer's disease is a progressive neurodegenerative disorder and patients suffer from memory loss, a decline in language skill and impairment in other cognitive functions. In the cholinergic hypothesis, dysfunction of cholinergic neurons especially in the hippocampus and cerebral cortex contributes to cognitive decline in patients. So agents that enhance acetylcholine concentration could improve cognitive function. AChEIs are among the most studied anti-Alzheimer agents. Galbanic acid as a natural compound with a sesquiterpene coumarin scaffold is a weak inhibitor of AChE. In the present contribution, we discussed the impact of carboxylic group ionization on inhibitory effects. We performed in vitro and in silico studies on galbanic acid, methyl and ethyl galbanates as AChE inhibitors. The order of inhibitory effect on AChE was obtained as ethyl galbanate ∼ methyl galbanate > galbanic acid. Our study highlights the important role of the physicochemical properties of natural lead compounds in each specific assay.Communicated by Ramaswamy H. Sarma.

Design, synthesis and biological evaluation of anticholinesterase peptides: Fragment-based vs. template-based peptide design.

The prevalence of Alzheimer's disease (AD) has become a substantial global concern. Approved AChE inhibitors have been used for symptomatic treatment of AD. Binding of amyloid ß (Aß) to the peripheral anionic site of AChE facilitates the formation of Aß plaques. Blocking this proposed protein-protein interaction by inhibition of the peripheral anionic site of AChE, in addition to increasing the level of ACh, reduces the Aß aggregation and might qualify to slow down the progression of disease besides the palliative treatment. Targeting protein-protein interactions consider as one of the most challenging issues in the realm of drug design in which peptides have potentials to excel in. In the present study, we applied two virtual fragment-based and template-based approaches to design peptidic inhibitors of the PAS of AChE. Based on the in silico studies, high scored peptides p2 (WTWYGYWVW) and p10 (NHRMLTRRY) obtained from fragment-based and template-based design respectively. Regarding in vitro results, p2 (IC50 = 16 ± 3.2 µM) and p10 (IC50 = 23.6 ± 4.9 µM) showed significant AChE inhibitory effects. The molecular mechanism of inhibition studied by Lineweaver-Burk plots was mixed inhibition for both peptides. The in vitro results conformed to the in silico results and showed that both peptides occupied the CAS and PAS of AChE. The comparison of two peptide-design approaches revealed that the fragment-based design had more chemical diversity and showed priority to the template-based design. According to the obtained results, peptidic inhibitors of AChE designed by the proposed fragment-based approach might be more efficient in comparison to traditional approaches.

Insights into the current status of privileged N-heterocycles as antileishmanial agents.

Leishmania, one of the most important neglected tropical diseases, is endemic in several regions of the world and hence regarded as a serious threat to public health. Major difficulties with current chemotherapeutic agents raise issues such as toxicity, resistance, cost and other side effects. These issues necessitate development of potentially new chemical entities against diverse leishmanial species. Numerous natural and synthetic new antileishmanial molecules have been described for disease management. Careful inspection of scientific reports revealed that considerable amount of promising antileishmanial agents belonged to the nitrogen-containing heterocycles such as quinoline, triazole, pyrazole, imidazole, indole, pyrimidine, ß-carboline, quinoxaline, quinazoline and benzimidazole. In this regard, enormous chemical data provide the opportunity for systematic elucidation of structural requirements against different leishmanial species. Within this representation, insights into the current status of privileged N-heterocycles as antileishmanial agents with particular emphasis on structure activity relationships are reviewed.

Molecular Modeling of Indeno [1, 2-b] Quinoline-9, 11-Diones as Cytotoxic Agents.

Deoxyribonucleic acid (DNA) is an important molecular target for anti-cancer agents due to its involvement in gene expression and protein synthesis which are fundamental steps in cell division and growth. A number of antineoplastic agents interfere with DNA and hence disturb the cell cycle. Compounds including planar aromatic rings are privileged scaffolds in binding to DNA. This characteristic is mainly arisen from the fact that such structural feature may be appropriate to insert between the base pairs of the DNA double helix and produce relatively stable non-covalent complexes. Besides π-π stacking interactions, binding to the DNA molecule might be intensified through H-bond interactions of heterocyclic rings. In the present contribution, a series of experimentally validated cytotoxic indeno[1,2-b]quinoline-9,11-diones (1-12) and their aromatized analogues (13-21) developed in our group were subjected to docking and molecular dynamics simulations to elucidate their most probable binding modes with DNA.

The potential of natural product vs neurodegenerative disorders: In silico study of artoflavanocoumarin as BACE-1 inhibitor.

Increasing evidence suggests the beneficial impact of flavonoid-rich nutrition on normal cognitive function. It has been revealed that flavonoids can slow neurodegenerative processes in situations such as Alzheimer's disease (AD). The ß-secretase (BACE-1) is one of the most studied targets in AD therapy owing to its role in producing Aß plaques. In fact the unique role of BACE-1 in pathogenesis of neurodegenerative diseases has made it a druggable target to develop anti-AD agents. Taking into account the anti-amyloidogenic and anti-oxidative properties, flavonoids have received considerable attention as lead candidates for anti-AD drug discovery projects. In continuation to our interest toward rational exploration of potential anti-AD agents, it was attempted to conduct a combined structure based in silico study and explore pharmacophore of a flavanocoumarin derivative as BACE-1 Inhibitor. Ab initio studies showed that both pseudo-axial and pseudo-equatorial conformers could convert to each other freely at room temperature. Within this study it was revealed that artoflavanocoumarin possess essential pharmacophoric groups to inhibit BACE-1. Considering four different protonation states of BACE-1 as di-deprotonated, diprotonated, protonated Asp32 and protonated Asp228, it was also found that affinity of artoflavanocoumarin toward different protonation states of BACE-1could be ranked as Asp32p-Asp228i > di-deprotonated ∼ Asp32i-Asp228p >> diprotonated. PMF study on artoflavanocoumarin showed that it could pass 1.8 kcal/mol free energy barrier from water to DPPC lipid bilayer. Moreover the pros and cons of artoflavanocoumarin as a lead compound were elucidated.

Structural Insight into Binding Mode of 9-Hydroxy Aristolochic Acid, Diclofenac and Indomethacin to PLA2.

Phospholipase A2 (PLA2) catalyzes the hydrolysis of phospholipids into arachidonic acid and lysophospholipids. Arachidonic acid is modified by cyclooxygenases into active compounds called eicosanoids that act as signaling molecules in a number of physiological processes. Excessive production of eicosanoids leads to several pathological conditions such as inflammation. In order to block the inflammatory effect of these compounds, upstream enzymes such as PLA2 are valid targets. In the present contribution, molecular dynamic analysis was performed to evaluate the binding of diclofenac, 9-hydroxy aristolochic acid (9-HAA) and indomethacin to PLA2. Obtained results revealed that 9-HAA could form a more stable complex with PLA2 when compared to diclofenac and indomethacin. Furthermore, analysis of intermolecular binding energy components indicated that hydrophobic interactions were dominant in binding process. On the basis of obtained data, inhibitors bearing fused rings with hydrogen acceptor/donor substituent(s) interacted with His48 and Asp49 residues of the active site. More affinity toward PLA2 might be envisaged through negatively charged moieties via interaction with Trp31, Lys34 and Lys69.

Risks of on-pump coronary artery bypass grafting surgery in patients with chronic obstructive pulmonary disease due to sulfur mustard.

Sulfur mustard (SM) is a toxic chemical agent that belongs to a class of vesicant compounds. In the 1980s it was used by the Iraqi army against Iranian forces. Sulfur mustard severely irritates the skin, eyes and lungs. The highest side effects seen in patients affected by this gas are pulmonary complications including different types of lung diseases such as bronchiolitis. It has also led to a certain type of chronic obstructive pulmonary disease called mustard lung. Similar extra-pulmonary, molecular and hormonal effects can be observed in these patients and patients with chronic obstructive pulmonary disease. Here cardiovascular complications may be one of the most dangerous visible effects. And atherosclerosis is probable following the direct effects or consequential long-term effects of SM. The development of atherosclerosis in these patients is associated with an increased risk of cardiovascular and coronary artery disease. Coronary artery bypass grafting surgery is the treatment of coronary artery disease. Doing this surgery by bypass pump has its own morbidity and due to local and systemic inflammation changes in patients with SM pulmonary disorders it may have more side effects. Therefore, detailed knowledge of inflammatory diseases as well as the serum level or even the local lung fluid of the inflammatory factors in these patients before surgery are needed so that it would be possible to reduce the rate of morbidity and mortality by normalizing the inflammatory conditions of the patients before cardiac surgery.