Literature DB >> 30360721

Advancements in Docking and Molecular Dynamics Simulations Towards Ligand-receptor Interactions and Structure-function Relationships.

Ahmad Abu Turab Naqvi1, Taj Mohammad1, Gulam Mustafa Hasan2, Md Imtaiyaz Hassan1.   

Abstract

Protein-ligand interaction is an imperative subject in structure-based drug design and protein function prediction process. Molecular docking is a computational method which predicts the binding of a ligand molecule to the particular receptor. It predicts the binding pose, strength and binding affinity of the molecules using various scoring functions. Molecular docking and molecular dynamics simulations are widely used in combination to predict the binding modes, binding affinities and stability of different protein-ligand systems. With advancements in algorithms and computational power, molecular dynamics simulation is now a fundamental tool to investigative bio-molecular assemblies at atomic level. These methods in association with experimental support have been of great value in modern drug discovery and development. Nowadays, it has become an increasingly significant method in drug discovery process. In this review, we focus on protein-ligand interactions using molecular docking, virtual screening and molecular dynamics simulations. Here, we cover an overview of the available methods for molecular docking and molecular dynamics simulations, and their advancement and applications in the area of modern drug discovery. The available docking software and their advancement including application examples of different approaches for drug discovery are also discussed. We have also introduced the physicochemical foundations of molecular docking and simulations, mainly from the perception of bio-molecular interactions. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Keywords:  Docking; Drug discovery; GPCR; Molecular dynamics simulation; Protein-ligand interaction; Structure-function relationships.

Mesh:

Substances:

Year:  2018        PMID: 30360721     DOI: 10.2174/1568026618666181025114157

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  28 in total

1.  Cinnamomum zeylanicum Extract and its Bioactive Component Cinnamaldehyde Show Anti-Tumor Effects via Inhibition of Multiple Cellular Pathways.

Authors:  Sadhna Aggarwal; Kanchan Bhadana; Baldeep Singh; Meenakshi Rawat; Taj Mohammad; Lamya Ahmed Al-Keridis; Nawaf Alshammari; Md Imtaiyaz Hassan; Satya N Das
Journal:  Front Pharmacol       Date:  2022-06-02       Impact factor: 5.988

2.  Molecular Mechanism for Attractant Signaling to DHMA by E. coli Tsr.

Authors:  Asuka A Orr; Jingyun Yang; Nitesh Sule; Ravi Chawla; Kenneth G Hull; Mingzhao Zhu; Daniel Romo; Pushkar P Lele; Arul Jayaraman; Michael D Manson; Phanourios Tamamis
Journal:  Biophys J       Date:  2019-11-27       Impact factor: 4.033

3.  Direct Observation of β-Barrel Intermediates in the Self-Assembly of Toxic SOD128-38 and Absence in Nontoxic Glycine Mutants.

Authors:  Yunxiang Sun; Junchao Huang; Xiangmei Duan; Feng Ding
Journal:  J Chem Inf Model       Date:  2021-01-14       Impact factor: 4.956

4.  Structural genomics approach to investigate deleterious impact of nsSNPs in conserved telomere maintenance component 1.

Authors:  Arunabh Choudhury; Taj Mohammad; Nikhil Samarth; Afzal Hussain; Md Tabish Rehman; Asimul Islam; Mohamed F Alajmi; Shailza Singh; Md Imtaiyaz Hassan
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

5.  Design, synthesis and in silico screening of benzoxazole-thiazolidinone hybrids as potential inhibitors of SARS-CoV-2 proteases.

Authors:  Vijay Sai Krishna Cheerala; Prasanth Ghanta; Sundaresan Chittor Neelakantan
Journal:  RSC Adv       Date:  2021-12-10       Impact factor: 4.036

6.  A discrete-to-continuum model of protein complexes.

Authors:  Paolo Maria Mariano; Marco Bacci
Journal:  Biomech Model Mechanobiol       Date:  2022-03-25

7.  Discovery of Hordenine as a Potential Inhibitor of Pyruvate Dehydrogenase Kinase 3: Implication in Lung Cancer Therapy.

Authors:  Saleha Anwar; Taj Mohammad; Anas Shamsi; Aarfa Queen; Shahnaz Parveen; Suaib Luqman; Gulam Mustafa Hasan; Khalid A Alamry; Naved Azum; Abdullah M Asiri; Md Imtaiyaz Hassan
Journal:  Biomedicines       Date:  2020-05-14

8.  Identification of High-Affinity Inhibitors of Cyclin-Dependent Kinase 2 Towards Anticancer Therapy.

Authors:  Taj Mohammad; Sagar Batra; Rashmi Dahiya; Mohammad Hassan Baig; Irfan Ahmad Rather; Jae-June Dong; Imtaiyaz Hassan
Journal:  Molecules       Date:  2019-12-15       Impact factor: 4.411

9.  Identification of high-affinity inhibitors of SARS-CoV-2 main protease: Towards the development of effective COVID-19 therapy.

Authors:  Taj Mohammad; Anas Shamsi; Saleha Anwar; Mohd Umair; Afzal Hussain; Md Tabish Rehman; Mohamed F AlAjmi; Asimul Islam; Md Imtaiyaz Hassan
Journal:  Virus Res       Date:  2020-07-24       Impact factor: 6.286

10.  Evaluation of binding and inhibition mechanism of dietary phytochemicals with sphingosine kinase 1: Towards targeted anticancer therapy.

Authors:  Preeti Gupta; Taj Mohammad; Rashmi Dahiya; Sonam Roy; Omar Mohammed Ali Noman; Mohamed F Alajmi; Afzal Hussain; Md Imtaiyaz Hassan
Journal:  Sci Rep       Date:  2019-12-10       Impact factor: 4.379

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