Literature DB >> 32810406

Straightforward Incorporation of Multiple Ligand Types into Molecular Dynamics Simulations for Efficient Binding Site Detection and Characterization.

Yaw Sing Tan1, Chandra S Verma1,2,3.   

Abstract

Binding site identification and characterization is an important initial step in structure-based drug design. To account for the effects of protein flexibility and solvation, several cosolvent molecular dynamics (MD) simulation methods that incorporate small organic molecules into the protein's solvent box to probe for binding sites have been developed. However, most of these methods are highly inefficient, as they allow for the use of only one probe type at a time, which means that multiple sets of simulations have to be performed to map different types of binding sites. The high probe concentrations used in some of these methods also necessitate the use of artificial repulsive forces to prevent the probes from aggregating. Here, we present multiple-ligand-mapping MD (mLMMD), a method that incorporates multiple types of probes for simultaneous and efficient mapping of different types of binding sites without the need for introduction of artificial forces that may cause unintended mapping artifacts. We validate the method on a diverse set of 10 proteins and show that the mLMMD probes are able to reliably identify hydrophobic, hydrogen-bonding, charged, and cryptic binding sites in all of the test cases. Our results also highlight the potential utility of mLMMD for virtual screening and rational drug design.

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Year:  2020        PMID: 32810406     DOI: 10.1021/acs.jctc.0c00405

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  4 in total

1.  Application of Site-Identification by Ligand Competitive Saturation in Computer-Aided Drug Design.

Authors:  Himanshu Goel; Anthony Hazel; Wenbo Yu; Sunhwan Jo; Alexander D MacKerell
Journal:  New J Chem       Date:  2021-11-29       Impact factor: 3.591

Review 2.  Druggable Transient Pockets in Protein Kinases.

Authors:  Koji Umezawa; Isao Kii
Journal:  Molecules       Date:  2021-01-27       Impact factor: 4.411

Review 3.  Recent Advances in Structure, Function, and Pharmacology of Class A Lipid GPCRs: Opportunities and Challenges for Drug Discovery.

Authors:  R N V Krishna Deepak; Ravi Kumar Verma; Yossa Dwi Hartono; Wen Shan Yew; Hao Fan
Journal:  Pharmaceuticals (Basel)       Date:  2021-12-22

4.  Simulation of Molecular Dynamics of SARS-CoV-2 S-Protein in the Presence of Multiple Arbidol Molecules: Interactions and Binding Mode Insights.

Authors:  Sophia S Borisevich; Edward M Khamitov; Maxim A Gureev; Olga I Yarovaya; Nadezhda B Rudometova; Anastasiya V Zybkina; Ekaterina D Mordvinova; Dmitriy N Shcherbakov; Rinat A Maksyutov; Nariman F Salakhutdinov
Journal:  Viruses       Date:  2022-01-10       Impact factor: 5.048

  4 in total

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