Literature DB >> 11340059

Biomolecular simulations: recent developments in force fields, simulations of enzyme catalysis, protein-ligand, protein-protein, and protein-nucleic acid noncovalent interactions.

W Wang1, O Donini, C M Reyes, P A Kollman.   

Abstract

Computer modeling has been developed and widely applied in studying molecules of biological interest. The force field is the cornerstone of computer simulations, and many force fields have been developed and successfully applied in these simulations. Two interesting areas are (a) studying enzyme catalytic mechanisms using a combination of quantum mechanics and molecular mechanics, and (b) studying macromolecular dynamics and interactions using molecular dynamics (MD) and free energy (FE) calculation methods. Enzyme catalysis involves forming and breaking of covalent bonds and requires the use of quantum mechanics. Noncovalent interactions appear ubiquitously in biology, but here we confine ourselves to review only noncovalent interactions between protein and protein, protein and ligand, and protein and nucleic acids.

Mesh:

Substances:

Year:  2001        PMID: 11340059     DOI: 10.1146/annurev.biophys.30.1.211

Source DB:  PubMed          Journal:  Annu Rev Biophys Biomol Struct        ISSN: 1056-8700


  103 in total

1.  Gramicidin A channel as a test ground for molecular dynamics force fields.

Authors:  Toby W Allen; Turgut Baştuğ; Serdar Kuyucak; Shin-Ho Chung
Journal:  Biophys J       Date:  2003-04       Impact factor: 4.033

2.  Computational design of a Zn2+ receptor that controls bacterial gene expression.

Authors:  M A Dwyer; L L Looger; H W Hellinga
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-19       Impact factor: 11.205

3.  Proteome-wide detection of Abl1 SH3-binding peptides by integrating computational prediction and peptide microarray.

Authors:  Zheng Xu; Tingjun Hou; Nan Li; Yang Xu; Wei Wang
Journal:  Mol Cell Proteomics       Date:  2011-10-24       Impact factor: 5.911

4.  Binding of novel fullerene inhibitors to HIV-1 protease: insight through molecular dynamics and molecular mechanics Poisson-Boltzmann surface area calculations.

Authors:  Haralambos Tzoupis; Georgios Leonis; Serdar Durdagi; Varnavas Mouchlis; Thomas Mavromoustakos; Manthos G Papadopoulos
Journal:  J Comput Aided Mol Des       Date:  2011-10-04       Impact factor: 3.686

5.  Soft-core potentials in thermodynamic integration: comparing one- and two-step transformations.

Authors:  Thomas Steinbrecher; InSuk Joung; David A Case
Journal:  J Comput Chem       Date:  2011-08-27       Impact factor: 3.376

6.  Scoring and lessons learned with the CSAR benchmark using an improved iterative knowledge-based scoring function.

Authors:  Sheng-You Huang; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2011-08-31       Impact factor: 4.956

7.  DNA Shape versus Sequence Variations in the Protein Binding Process.

Authors:  Chuanying Chen; B Montgomery Pettitt
Journal:  Biophys J       Date:  2016-02-02       Impact factor: 4.033

8.  Recognition of methylated peptides by Drosophila melanogaster polycomb chromodomain.

Authors:  Richard S L Stein; Nan Li; Wei He; Elizabeth Komives; Wei Wang
Journal:  J Proteome Res       Date:  2013-02-04       Impact factor: 4.466

9.  Speed of conformational change: comparing explicit and implicit solvent molecular dynamics simulations.

Authors:  Ramu Anandakrishnan; Aleksander Drozdetski; Ross C Walker; Alexey V Onufriev
Journal:  Biophys J       Date:  2015-03-10       Impact factor: 4.033

10.  Inclusion of solvation and entropy in the knowledge-based scoring function for protein-ligand interactions.

Authors:  Sheng-You Huang; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2010-02-22       Impact factor: 4.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.