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1.
J Mol Model ; 28(11): 345, 2022 Oct 07.
Article in English | MEDLINE | ID: mdl-36205801

ABSTRACT

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, is a novel strain of coronavirus first reported in December 2019 which rapidly spread throughout the world and was subsequently declared a pandemic by the World Health Organization (WHO) in March 2020. Although vaccines, as well as treatments, have been rapidly developed and deployed, these are still spread thin, especially in the developing world. There is also a continuing threat of the emergence of mutated variants which may not be as responsive to available vaccines and drugs. Accessible and affordable sources of antiviral drugs against SARS-CoV-2 offer wider options for the clinical treatment of populations at risk for severe COVID-19. Using in silico methods, this study identified potential inhibitors against the SARS-CoV-2 main protease (Mpro), the protease directly responsible for the activation of the viral replication enzyme, from a consolidated database of 1516 Philippine natural products. Molecular docking experiments, along with in silico ADME predictions, determined top ligands from this database with the highest potential inhibitory effects against Mpro. Molecular dynamic trajectories of the apo and diosmetin-7-O-b-D-glucopyranoside (DG) in complex with the protein predicted potential mechanisms of action for the ligand-by separating the Cys145-His41 catalytic dyad and by influencing the protein network through key intra-signaling residues within the Mpro binding site. These findings show the inhibitory potential of DG against the SARS-CoV-2 Mpro, and further validation is recommended through in vitro or in vivo experimentation.


Subject(s)
Biological Products , COVID-19 Drug Treatment , Antiviral Agents/chemistry , Antiviral Agents/pharmacology , Biological Products/pharmacology , Coronavirus 3C Proteases , Cysteine Endopeptidases/chemistry , Humans , Ligands , Molecular Docking Simulation , Molecular Dynamics Simulation , Philippines , Protease Inhibitors/chemistry , SARS-CoV-2 , Viral Nonstructural Proteins
2.
Daru ; 30(2): 273-288, 2022 Dec.
Article in English | MEDLINE | ID: mdl-35925539

ABSTRACT

BACKGROUND: Breast cancer is currently the world's most predominant malignancy. In cancer progression, angiogenesis is a requirement for tumor growth and metastasis.Alpinumisoflavone (AIF), a bioactive isoflavonoid, exhibited good binding affinity with the angiogenesis pathway's druggable target through molecular docking. OBJECTIVES: To confirm AIF's angiogenesis inhibitory activity, cytotoxic potential toward breast cancer cells, and druggability. METHODS: Antiangiogenic activity was evaluated in six pro-angiogenic proteins in vitro, duck chorioallantoic membrane (CAM) in ovo, molecular docking and druggability in silico. RESULTS: Findings showed that AIF significantly inhibited (p = < 0.001) the HER2(IC50 = 2.96 µM), VEGFR-2(IC50 = 4.80 µM), MMP-9(IC50 = 23.00 µM), FGFR4(IC50 = 57.65 µM), EGFR(IC50 = 92.06 µM) and RET(IC50 = > 200 µM) activity in vitro.AIF at 25 µM-200 µM significantly inhibited (p = < 0.001) the total number of branch points (IC50 = 14.25 µM) and mean length of tubule complexes (IC50 = 3.52 µM) of duck CAM comparable (p = > 0.001) with the positive control 200 µM celecoxib on both parameters.AIF inhibited the growth of the estrogen-receptor-positive (ER +) human breast cancer cells (MCF-7) by 44.92 ± 1.79% at 100 µM while presenting less toxicity to human dermal fibroblast neonatal (HDFn) normal cells.The positive control 100 µM doxorubicin showed 86.66 ± 0.93% and 92.97 ± 1.27% inhibition with MCF-7 (IC50 = 3.62 µM) and HDFn, (IC50 = 27.16 µM) respectively.In docking, AIF has the greatest in silico binding affinity on HER2 (-10.9 kcal/mol) among the key angiogenic molecules tested. In silico rat oral LD50 calculation indicates that AIF is moderate to slightly toxic at 146.4 mg/kg with 1.1 g/kg and 20.1 mg/kg upper and lower 95% confidence limits. Lastly, it sufficiently complies with Lipinski's, Veber's, Egan's, Ghose's, and Muegge's Rule, supporting its oral drug-like property. CONCLUSION: This study revealed that AIF possesses characteristics of a phytoestrogen compound with significant binding affinity, inhibitory activity against pro-angiogenic proteins, and cytotoxic potential against ER + breast cancer cells.The acceptable and considerable safety and drug-likeness profiles of AIF are worthy of further confirmation in vivo and advanced pre-clinical studies so that AIF can be elevated as a promising molecule for breast cancer therapy.


Subject(s)
Antineoplastic Agents , Breast Neoplasms , Humans , Rats , Animals , Female , Molecular Docking Simulation , Cell Proliferation , Antineoplastic Agents/chemistry , Breast Neoplasms/drug therapy , Angiogenic Proteins/pharmacology , Structure-Activity Relationship , Molecular Structure , Drug Screening Assays, Antitumor , Protein Kinase Inhibitors/chemistry , Dose-Response Relationship, Drug
3.
Drug Des Devel Ther ; 14: 5189-5204, 2020.
Article in English | MEDLINE | ID: mdl-33268982

ABSTRACT

INTRODUCTION: Cancer is considered as one of the deadliest human diseases today. Angiogenesis, the propagation of new blood vessels from pre-existing vasculature, is a critical step in the progression of cancer as it is essential in the growth and metastasis of tumors. Hence, suppression of angiogenesis is a promising approach in cancer therapy. Syringin, a phenylpropanoid glycoside with a molecular formula of C17H24O9, has been found to exhibit chemopreventive effects. However, its anti-angiogenic activity and the underlying mechanism of action are still unknown. METHODS: In this work, in ovo chorioallantoic membrane (CAM) assay has been conducted to evaluate the effect of syringin on neovascularization. Additionally, reverse molecular docking studies have been performed in order to identify the probable enzyme targets in the angiogenesis pathway. RESULTS: Treatment with syringin showed significant dose-dependent inhibition of blood vessel length and junctions in the CAM of duck eggs; the anti-angiogenic activity of syringin at 100 µM and 200 µM is comparable with 200 µM of the positive control celecoxib. The results of reverse docking studies indicate that syringin binds the strongest to dihydrofolate reductase (DHFR) and, to some extent, with transforming growth factor-beta receptor type 1 (TGF-ßR1), vascular endothelial growth factor receptor 2 (VEGFR2), and matrix metalloproteinase-2 (MMP-2). Furthermore, ADMET models revealed that syringin potentially possesses excellent pharmacokinetic and toxicity profiles. CONCLUSION: This study demonstrates the potential of syringin as an anti-angiogenic agent and elicits further investigations to establish its application in cancer suppression.


Subject(s)
Angiogenesis Inhibitors/pharmacology , Chorioallantoic Membrane/drug effects , Glucosides/pharmacology , Neovascularization, Pathologic/drug therapy , Phenylpropionates/pharmacology , Angiogenesis Inhibitors/chemistry , Animals , Chorioallantoic Membrane/blood supply , Chorioallantoic Membrane/metabolism , Dose-Response Relationship, Drug , Ducks , Glucosides/chemistry , Molecular Conformation , Molecular Docking Simulation , Neovascularization, Pathologic/metabolism , Phenylpropionates/chemistry
4.
Molecules ; 25(3)2020 Feb 04.
Article in English | MEDLINE | ID: mdl-32033144

ABSTRACT

Tuberculosis (TB) remains a serious threat to global public health, responsible for an estimated 1.5 million mortalities in 2018. While there are available therapeutics for this infection, slow-acting drugs, poor patient compliance, drug toxicity, and drug resistance require the discovery of novel TB drugs. Discovering new and more potent antibiotics that target novel TB protein targets is an attractive strategy towards controlling the global TB epidemic. In silico strategies can be applied at multiple stages of the drug discovery paradigm to expedite the identification of novel anti-TB therapeutics. In this paper, we discuss the current TB treatment, emergence of drug resistance, and the effective application of computational tools to the different stages of TB drug discovery when combined with traditional biochemical methods. We will also highlight the strengths and points of improvement in in silico TB drug discovery research, as well as possible future perspectives in this field.


Subject(s)
Antitubercular Agents/pharmacology , Drug Design , Drug Discovery/methods , Extensively Drug-Resistant Tuberculosis/drug therapy , Mycobacterium tuberculosis/drug effects , Tuberculosis, Pulmonary/drug therapy , Density Functional Theory , Drug Resistance, Bacterial , Humans , Machine Learning , Molecular Docking Simulation , Molecular Dynamics Simulation , Quantitative Structure-Activity Relationship
5.
Drug Des Devel Ther ; 11: 563-574, 2017.
Article in English | MEDLINE | ID: mdl-28280303

ABSTRACT

Computer-aided drug discovery and development approaches such as virtual screening, molecular docking, and in silico drug property calculations have been utilized in this effort to discover new lead compounds against tuberculosis. The enzyme 7,8-diaminopelargonic acid aminotransferase (BioA) in Mycobacterium tuberculosis (Mtb), primarily involved in the lipid biosynthesis pathway, was chosen as the drug target due to the fact that humans are not capable of synthesizing biotin endogenously. The computational screening of 4.5 million compounds from the Enamine REAL database has ultimately yielded 45 high-scoring, high-affinity compounds with desirable in silico absorption, distribution, metabolism, excretion, and toxicity properties. Seventeen of the 45 compounds were subjected to bioactivity validation using the resazurin microtiter assay. Among the 4 actives, compound 7 ((Z)-N-(2-isopropoxyphenyl)-2-oxo-2-((3-(trifluoromethyl)cyclohexyl)amino)acetimidic acid) displayed inhibitory activity up to 83% at 10 µg/mL concentration against the growth of the Mtb H37Ra strain.


Subject(s)
Anti-Bacterial Agents/pharmacology , Computer Simulation , Drug Discovery , Enzyme Inhibitors/pharmacology , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/enzymology , Transaminases/antagonists & inhibitors , Anti-Bacterial Agents/chemistry , Dose-Response Relationship, Drug , Enzyme Inhibitors/chemistry , Microbial Sensitivity Tests , Molecular Docking Simulation , Mycobacterium tuberculosis/growth & development , Structure-Activity Relationship , Transaminases/metabolism
6.
Acta Crystallogr E Crystallogr Commun ; 72(Pt 7): 1009-12, 2016 Jul 01.
Article in English | MEDLINE | ID: mdl-27555952

ABSTRACT

The title copper(II) complex of a pyridine-containing macrocycle (PyMAC), [Cu(C16H28N4)](ClO4)2, has been prepared. The crystal structure reveals the Cu(II) atom to be octahedrally coordinated by a tetradentate aminopyridine macrocyclic ligand surrounding the metal cation in a square-planar geometry. Two weakly bound perchlorate counter-ions occupy the axial sites above and below the macrocyclic plane. The crystal studied was refined as a two-component pseudo-merohedral twin; the refined fractional contribution of the minor component is 38.77 (8).

7.
Drug Des Devel Ther ; 10: 1147-57, 2016.
Article in English | MEDLINE | ID: mdl-27042006

ABSTRACT

Mycobacterium tuberculosis (Mtb) the main causative agent of tuberculosis, is the main reason why this disease continues to be a global public health threat. It is therefore imperative to find a novel antitubercular drug target that is unique to the structural machinery or is essential to the growth and survival of the bacterium. One such target is the enzyme l,d-transpeptidase 2, also known as LdtMt2, a protein primarily responsible for the catalysis of 3→3 cross-linkages that make up the mycolyl-arabinogalactan-peptidoglycan complex of Mtb. In this study, structure-based pharmacophore screening, molecular docking, and in silico toxicity evaluations were employed in screening compounds from a database of synthetic compounds. Out of the 4.5 million database compounds, 18 structures were identified as high-scoring, high-binding hits with very satisfactory absorption, distribution, metabolism, excretion, and toxicity properties. Two out of the 18 compounds were further subjected to in vitro bioactivity assays, with one exhibiting a good inhibitory activity against the Mtb H37Ra strain.


Subject(s)
Antitubercular Agents/pharmacology , Computer Simulation , Enzyme Inhibitors/pharmacology , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/enzymology , Peptidyl Transferases/antagonists & inhibitors , Antitubercular Agents/chemical synthesis , Antitubercular Agents/chemistry , Dose-Response Relationship, Drug , Drug Evaluation, Preclinical , Enzyme Inhibitors/chemical synthesis , Enzyme Inhibitors/chemistry , Microbial Sensitivity Tests , Molecular Conformation , Molecular Docking Simulation , Peptidyl Transferases/metabolism , Structure-Activity Relationship
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