Literature DB >> 31386808

EnzyDock: Protein-Ligand Docking of Multiple Reactive States along a Reaction Coordinate in Enzymes.

Susanta Das1, Mor Shimshi1, Keren Raz1, Neta Nitoker Eliaz1, Anil Ranu Mhashal1, Tamar Ansbacher1,2, Dan T Major1.   

Abstract

Enzymes play a pivotal role in all biological systems. These biomachines are the most effective catalysts known, dramatically enhancing the rate of reactions by more than 10 orders of magnitude relative to the uncatalyzed reactions in solution. Predicting the correct, mechanistically appropriate binding modes for substrate and product, as well as all reaction intermediates and transition states, along a reaction pathway is immensely challenging and remains an unsolved problem. In the present work, we developed an effective methodology for identifying probable binding modes of multiple ligand states along a reaction coordinate in an enzyme active site. The program is called EnzyDock and is a CHARMM-based multistate consensus docking program that includes a series of protocols to predict the chemically relevant orientation of substrate, reaction intermediates, transition states, product, and inhibitors. EnzyDock is based on simulated annealing molecular dynamics and Monte Carlo sampling and allows ligand, as well as enzyme side-chain and backbone flexibility. The program can employ many user-defined constraints and restraints and classical force field potentials, as well as a range of hybrid quantum mechanics-molecular mechanics potentials. Herein, we apply EnzyDock to several different kinds of problems. First, we study two terpene synthase reactions, namely bornyl diphosphate synthase and the bacterial diterpene synthase CotB2. Second, we use EnzyDock to predict reaction coordinate states in a pair of Diels-Alder reactions in the enzymes spirotetronate AbyU and LepI. Third, we study a couple of racemases: the cofactor-dependent serine racemase and the cofactor independent proline racemase. Finally, we study several cases of covalent docking involving the Michael addition reaction. For all systems we predict binding modes that are consistent with available experimental observations, as well as with theoretical modeling studies from the literature. EnzyDock provides a platform for generating mechanistic insight into enzyme reactions, useful and reliable starting points for in-depth multiscale modeling projects, and rational design of noncovalent and covalent enzyme inhibitors.

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Year:  2019        PMID: 31386808     DOI: 10.1021/acs.jctc.9b00366

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


  6 in total

Review 1.  Selective and Effective: Current Progress in Computational Structure-Based Drug Discovery of Targeted Covalent Inhibitors.

Authors:  Giulia Bianco; David S Goodsell; Stefano Forli
Journal:  Trends Pharmacol Sci       Date:  2020-11-02       Impact factor: 14.819

2.  Crystal Structure and Mechanistic Molecular Modeling Studies of Mycobacterium tuberculosis Diterpene Cyclase Rv3377c.

Authors:  Yue Zhang; Lisa M Prach; Terrence E O'Brien; Frank DiMaio; Daniil M Prigozhin; Jacob E Corn; Tom Alber; Justin B Siegel; Dean J Tantillo
Journal:  Biochemistry       Date:  2020-11-12       Impact factor: 3.162

Review 3.  Predictive Engineering of Class I Terpene Synthases Using Experimental and Computational Approaches.

Authors:  Nicole G H Leferink; Nigel S Scrutton
Journal:  Chembiochem       Date:  2021-11-03       Impact factor: 3.461

4.  Understanding the competing pathways leading to hydropyrene and isoelisabethatriene.

Authors:  Shani Zev; Marion Ringel; Ronja Driller; Bernhard Loll; Thomas Brück; Dan T Major
Journal:  Beilstein J Org Chem       Date:  2022-08-04       Impact factor: 2.544

5.  Computational Study on Temperature Driven Structure-Function Relationship of Polysaccharide Producing Bacterial Glycosyl Transferase Enzyme.

Authors:  Patricio González-Faune; Ignacio Sánchez-Arévalo; Shrabana Sarkar; Krishnendu Majhi; Rajib Bandopadhyay; Gustavo Cabrera-Barjas; Aleydis Gómez; Aparna Banerjee
Journal:  Polymers (Basel)       Date:  2021-05-28       Impact factor: 4.329

Review 6.  Current understanding and biotechnological application of the bacterial diterpene synthase CotB2.

Authors:  Ronja Driller; Daniel Garbe; Norbert Mehlmer; Monika Fuchs; Keren Raz; Dan Thomas Major; Thomas Brück; Bernhard Loll
Journal:  Beilstein J Org Chem       Date:  2019-10-02       Impact factor: 2.883

  6 in total

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