Literature DB >> 28418661

Systematic Dissociation Pathway Searches Guided by Principal Component Modes.

Zhiye Tang1, Chia-En A Chang1.   

Abstract

We introduce a novel method, Pathway Search guided by Internal Motions (PSIM), that efficiently finds molecular dissociation pathways of a ligand-receptor system with guidance from principal component (PC) modes obtained from molecular dynamics (MD) simulations. Modeling ligand-receptor dissociation pathways can provide insights into molecular recognition and has practical applications, including understanding kinetic mechanisms and barriers to binding/unbinding as well as design of drugs with desired kinetic properties. PSIM uses PC modes in multilayer internal coordinates to identify natural molecular motions that guide the search for conformational switches and unbinding pathways. The new multilayer internal coordinates overcome problems with Cartesian and classical internal coordinates that fail to smoothly present dihedral rotation or generate nonphysical distortions. We used HIV-1 protease, which has large-scale flap motions, as an example protein to demonstrate use of the multilayer internal coordinates. We provide examples of algorithms and implementation of PSIM with alanine dipeptide and chemical host-guest systems, 2-naphthyl ethanol-β-cyclodextrin and tetramethylammonium-cryptophane complexes. Tetramethylammonium-cryptophane has slow binding/unbinding kinetics. Its residence time, the length to dissociate tetramethylammonium from the host, is ∼14 s from experiments, and PSIM revealed 4 dissociation pathways in approximately 150 CPU h. We also searched the releasing pathways for the product glyceraldehyde-3-phosphate from tryptophan synthase, and one complete dissociation pathway was constructed after running multiple search iterations in approximately 300 CPU h. With guidance by internal PC modes from MD simulations, the PSIM method has advantages over simulation-based methods to search for dissociation pathways of molecular systems with slow noncovalent kinetic behavior.

Entities:  

Year:  2017        PMID: 28418661      PMCID: PMC5920795          DOI: 10.1021/acs.jctc.6b01204

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


  64 in total

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2.  Toward an Enhanced Sampling Molecular Dynamics Method for Studying Ligand-Induced Conformational Changes in Proteins.

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4.  Energy landscape of a small peptide revealed by dihedral angle principal component analysis.

Authors:  Yuguang Mu; Phuong H Nguyen; Gerhard Stock
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5.  Assessing the accuracy of metadynamics.

Authors:  Alessandro Laio; Antonio Rodriguez-Fortea; Francesco Luigi Gervasio; Matteo Ceccarelli; Michele Parrinello
Journal:  J Phys Chem B       Date:  2005-04-14       Impact factor: 2.991

6.  MuSTAR MD: multi-scale sampling using temperature accelerated and replica exchange molecular dynamics.

Authors:  Yu Yamamori; Akio Kitao
Journal:  J Chem Phys       Date:  2013-10-14       Impact factor: 3.488

7.  Leveraging the Information from Markov State Models To Improve the Convergence of Umbrella Sampling Simulations.

Authors:  Sunhwan Jo; Donghyuk Suh; Ziwei He; Christophe Chipot; Benoît Roux
Journal:  J Phys Chem B       Date:  2016-08-03       Impact factor: 2.991

Review 8.  Equilibrium sampling in biomolecular simulations.

Authors:  Daniel M Zuckerman
Journal:  Annu Rev Biophys       Date:  2011       Impact factor: 12.981

9.  Architecture and membrane interactions of the EGF receptor.

Authors:  Anton Arkhipov; Yibing Shan; Rahul Das; Nicholas F Endres; Michael P Eastwood; David E Wemmer; John Kuriyan; David E Shaw
Journal:  Cell       Date:  2013-01-31       Impact factor: 41.582

10.  Gaussian Accelerated Molecular Dynamics: Unconstrained Enhanced Sampling and Free Energy Calculation.

Authors:  Yinglong Miao; Victoria A Feher; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2015-07-14       Impact factor: 6.006

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  1 in total

1.  Role of Molecular Interactions and Protein Rearrangement in the Dissociation Kinetics of p38α MAP Kinase Type-I/II/III Inhibitors.

Authors:  Wanli You; Chia-En A Chang
Journal:  J Chem Inf Model       Date:  2018-04-16       Impact factor: 4.956

  1 in total

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