Literature DB >> 26598349

An Automated Force Field Topology Builder (ATB) and Repository: Version 1.0.

Alpeshkumar K Malde1, Le Zuo1, Matthew Breeze1, Martin Stroet1, David Poger1, Pramod C Nair1, Chris Oostenbrink2,3, Alan E Mark1,4.   

Abstract

The Automated force field Topology Builder (ATB, http://compbio.biosci.uq.edu.au/atb ) is a Web-accessible server that can provide topologies and parameters for a wide range of molecules appropriate for use in molecular simulations, computational drug design, and X-ray refinement. The ATB has three primary functions: (1) to act as a repository for molecules that have been parametrized as part of the GROMOS family of force fields, (2) to act as a repository for pre-equilibrated systems for use as starting configurations in molecular dynamics simulations (solvent mixtures, lipid systems pre-equilibrated to adopt a specific phase, etc.), and (3) to generate force field descriptions of novel molecules compatible with the GROMOS family of force fields in a variety of formats (GROMOS, GROMACS, and CNS). Force field descriptions of novel molecules are derived using a multistep process in which results from quantum mechanical (QM) calculations are combined with a knowledge-based approach to ensure compatibility (as far as possible) with a specific parameter set of the GROMOS force field. The ATB has several unique features: (1) It requires that the user stipulate the protonation and tautomeric states of the molecule. (2) The symmetry of the molecule is analyzed to ensure that equivalent atoms are assigned identical parameters. (3) Charge groups are assigned automatically. (4) Where the assignment of a given parameter is ambiguous, a range of possible alternatives is provided. The ATB also provides several validation tools to assist the user to assess the degree to which the topology generated may be appropriate for a given task. In addition to detailing the steps involved in generating a force field topology compatible with a specific GROMOS parameter set (GROMOS 53A6), the challenges involved in the automatic generation of force field parameters for atomic simulations in general are discussed.

Entities:  

Year:  2011        PMID: 26598349     DOI: 10.1021/ct200196m

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


  250 in total

1.  Molecular dynamics simulation of coarse-grained poly(L-lysine) dendrimers.

Authors:  Ali Rahimi; Sepideh Amjad-Iranagh; Hamid Modarress
Journal:  J Mol Model       Date:  2016-02-17       Impact factor: 1.810

2.  Slow-, Tight-Binding Inhibition of CYP17A1 by Abiraterone Redefines Its Kinetic Selectivity and Dosing Regimen.

Authors:  Eleanor Jing Yi Cheong; Pramod C Nair; Rebecca Wan Yi Neo; Ho Thanh Tu; Fu Lin; Edmund Chiong; Kesavan Esuvaranathan; Hao Fan; Russell Z Szmulewitz; Cody J Peer; William D Figg; Christina Li Lin Chai; John O Miners; Eric Chun Yong Chan
Journal:  J Pharmacol Exp Ther       Date:  2020-06-17       Impact factor: 4.030

3.  Tetrahydrobiopterin regulates monoamine neurotransmitter sulfonation.

Authors:  Ian Cook; Ting Wang; Thomas S Leyh
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-19       Impact factor: 11.205

4.  Molecular dynamics simulations give insight into the conformational change, complex formation, and electron transfer pathway for cytochrome P450 reductase.

Authors:  Axel Sündermann; Chris Oostenbrink
Journal:  Protein Sci       Date:  2013-08-01       Impact factor: 6.725

5.  Computational and experimental studies on β-sheet breakers targeting Aβ1-40 fibrils.

Authors:  Velia Minicozzi; Roberta Chiaraluce; Valerio Consalvi; Cesare Giordano; Claudia Narcisi; Pasqualina Punzi; Giancarlo C Rossi; Silvia Morante
Journal:  J Biol Chem       Date:  2014-02-28       Impact factor: 5.157

6.  Fluorinated Alcohols' Effects on Lipid Bilayer Properties.

Authors:  Mike Zhang; Thasin Peyear; Ilias Patmanidis; Denise V Greathouse; Siewert J Marrink; Olaf S Andersen; Helgi I Ingólfsson
Journal:  Biophys J       Date:  2018-08-01       Impact factor: 4.033

7.  A Streamlined, General Approach for Computing Ligand Binding Free Energies and Its Application to GPCR-Bound Cholesterol.

Authors:  Reza Salari; Thomas Joseph; Ruchi Lohia; Jérôme Hénin; Grace Brannigan
Journal:  J Chem Theory Comput       Date:  2018-11-13       Impact factor: 6.006

8.  Homology modeling, molecular docking, and dynamics of two α-methyl-D-mannoside-specific lectins from Arachis genus.

Authors:  Kyria Santiago Nascimento; David Alencar Araripe; Vanir Reis Pinto-Junior; Vinicius Jose Silva Osterne; Francisco William Viana Martins; Antonio Hadson Bastos Neco; Gil Aquino Farias; Benildo Sousa Cavada
Journal:  J Mol Model       Date:  2018-08-25       Impact factor: 1.810

9.  Free enthalpies of replacing water molecules in protein binding pockets.

Authors:  Sereina Riniker; Luzi J Barandun; François Diederich; Oliver Krämer; Andreas Steffen; Wilfred F van Gunsteren
Journal:  J Comput Aided Mol Des       Date:  2012-12-18       Impact factor: 3.686

10.  In vitro and in silico studies of 8(17),12E,14-labdatrien-18-oic acid in airways smooth muscle relaxation: new molecular insights about its mechanism of action.

Authors:  Edilson B Alencar Filho; Luciano A A Ribeiro; Thiego G C Carvalho; Fabrício S Silva; Luiz Antonio M S Duarte-Filho; Euzébio G Barbosa; Pedro M N Menezes; Josean F Tavares; Marcelo S da Silva; Bagnólia A Silva
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2020-11-18       Impact factor: 3.000

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