Molecular dynamics simulations for the protein–ligand complex structures obtained by computational docking studies using implicit or explicit solvents

2021 ◽  
pp. 139022
Author(s):  
Koichi Kato ◽  
Tomoki Nakayoshi ◽  
Eiji Kurimoto ◽  
Akifumi Oda
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Docking Studies ◽  
Complex Structures ◽  
Ligand Complex ◽  
Computational Docking ◽  
Dynamics Simulations

How to Assign AMBER Parameters to Desmond-generated System with viparr4 v1

2021 ◽  
Author(s):  
Thilo Mast ◽  
Dmitry Lupyan
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Force Fields ◽  
Third Party ◽  
Ligand Complex ◽  
Software Suite ◽  
Dynamics Simulations

This tutorial partially copies steps from How to Assign CHARMM Parameters to Desmond-generated System with viparr4 but differs in the parametrization steps. You can use the Schrödinger software suite to prepare systems for molecular dynamics simulations, however, only the OPLS _2005 and OPLS4 force fields can be automatically assigned. This tutorial will show you how to use Desmond with third-party force fields like AMBER, using the Viparr utility from D.E. Shaw Research. You will prepare a protein-ligand complex, generate custom AMBER parameters for the ligand, and use the Viparr utility to convert the generated AMBER parameters into a viparr-formatted template, that can be used for simulations. You can find the input files for this tutorial here:

scholarly journals Multidrug Resistance in Neisseria gonorrhoeae: Identification of Functionally Important Residues in the MtrD Efflux Protein

mBio ◽  
2019 ◽  
Vol 10 (6) ◽  
Author(s):  
Mohsen Chitsaz ◽  
Lauren Booth ◽  
Mitchell T. Blyth ◽  
Megan L. O’Mara ◽  
Melissa H. Brown
Keyword(s):  
Molecular Dynamics ◽  
Multidrug Resistance ◽  
Neisseria Gonorrhoeae ◽  
Molecular Dynamics Simulations ◽  
Docking Studies ◽  
Drug Binding ◽  
Multidrug Efflux ◽  
Content Type ◽  
Binding Pockets ◽  
Dynamics Simulations

ABSTRACT A key mechanism that Neisseria gonorrhoeae uses to achieve multidrug resistance is the expulsion of structurally different antimicrobials by the MtrD multidrug efflux protein. MtrD resembles the homologous Escherichia coli AcrB efflux protein with several common structural features, including an open cleft containing putative access and deep binding pockets proposed to interact with substrates. A highly discriminating N. gonorrhoeae strain, with the MtrD and NorM multidrug efflux pumps inactivated, was constructed and used to confirm and extend the substrate profile of MtrD to include 14 new compounds. The structural basis of substrate interactions with MtrD was interrogated by a combination of long-timescale molecular dynamics simulations and docking studies together with site-directed mutagenesis of selected residues. Of the MtrD mutants generated, only one (S611A) retained a wild-type (WT) resistance profile, while others (F136A, F176A, I605A, F610A, F612C, and F623C) showed reduced resistance to different antimicrobial compounds. Docking studies of eight MtrD substrates confirmed that many of the mutated residues play important nonspecific roles in binding to these substrates. Long-timescale molecular dynamics simulations of MtrD with its substrate progesterone showed the spontaneous binding of the substrate to the access pocket of the binding cleft and its subsequent penetration into the deep binding pocket, allowing the permeation pathway for a substrate through this important resistance mechanism to be identified. These findings provide a detailed picture of the interaction of MtrD with substrates that can be used as a basis for rational antibiotic and inhibitor design. IMPORTANCE With over 78 million new infections globally each year, gonorrhea remains a frustratingly common infection. Continuous development and spread of antimicrobial-resistant strains of Neisseria gonorrhoeae, the causative agent of gonorrhea, have posed a serious threat to public health. One of the mechanisms in N. gonorrhoeae involved in resistance to multiple drugs is performed by the MtrD multidrug resistance efflux pump. This study demonstrated that the MtrD pump has a broader substrate specificity than previously proposed and identified a cluster of residues important for drug binding and translocation. Additionally, a permeation pathway for the MtrD substrate progesterone actively moving through the protein was determined, revealing key interactions within the putative MtrD drug binding pockets. Identification of functionally important residues and substrate-protein interactions of the MtrD protein is crucial to develop future strategies for the treatment of multidrug-resistant gonorrhea.

scholarly journals Computational predictions of corroles as a class of Hsp90 inhibitors

2015 ◽  
Vol 11 (11) ◽  
pp. 2907-2914 ◽  
Author(s):  
Ruijie D. Teo ◽  
Sijia S. Dong ◽  
Zeev Gross ◽  
Harry B. Gray ◽  
William A. Goddard
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Docking Studies ◽  
Hsp90 Inhibitors ◽  
Dynamics Simulations ◽  
Computational Predictions

We predict corroles as a promising class of Hsp90 inhibitors by applying docking studies and molecular dynamics simulations.

scholarly journals Accelerating the Discovery of the Beyond Rule of Five Compounds That Have High Affinities Toward SARS-CoV-2 Spike RBD

2021 ◽  
Author(s):  
Abd Al-Aziz Abu-Saleh ◽  
Arpita Yadav ◽  
Raymond A. Poirier
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Rational Design ◽  
De Novo ◽  
Focal Point ◽  
Docking Studies ◽  
Global Pandemic ◽  
Approved Drugs ◽  
Dynamics Simulations ◽  
Binding Energy Calculations

The battle against SARS-CoV-2 coronavirus is the focal point for the global pandemic that has affected millions of lives worldwide. The need for effective and selective therapeutics for the treatment of the disease caused by SARS-CoV-2 is critical. Herein, we performed computational de novo design incorporating molecular docking studies, molecular dynamics simulations, absolute binding energy calculations, and steered molecular dynamics simulations for the discovery of potential compounds with high affinity towards SARS-CoV-2 spike RBD. By leveraging ZINC15 database, a total of 1282 in-clinical and FDA approved drugs were filtered out from nearly 0.5 million protomers of relatively large compounds (MW > 500, and LogP ≤ 5). Our results depict plausible mechanistic aspects related to the blockage of SARS-CoV-2 spike RBD by the top hits discovered. We found that the most promising candidates, namely, ZINC95628821, ZINC95617623, and ZINC261494658, strongly bind to the spike RBD and interfere with the human ACE2 receptor. These findings accelerate the rational design of selective inhibitors targeting the spike RBD protein of SARS-CoV-2.

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