Literature DB >> 15837171

Coarse-grained models for proteins.

Valentina Tozzini1.   

Abstract

Coarse-grained models for proteins and biomolecular aggregates have recently enjoyed renewed interest. Coarse-grained representations combined with enhanced computer power currently allow the simulation of systems of biologically relevant size (submicrometric) and timescale (microsecond or millisecond). Although these techniques still cannot be considered as predictive as all-atom simulations, noticeable advances have recently been achieved, mainly concerning the use of more rigorous parameterization techniques and novel algorithms for sampling configurational space. Moreover, the simulation size scales and timescales coincide with those that can be reached with the most advanced spectroscopic techniques, making it possible to directly compare simulation and experiment.

Mesh:

Substances:

Year:  2005        PMID: 15837171     DOI: 10.1016/j.sbi.2005.02.005

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  182 in total

1.  Study, by use of coarse-grained models, of the functionally crucial residues and allosteric pathway of anesthetic regulation of the Gloeobacter violaceus ligand-gated ion channel.

Authors:  Xing Yuan Li; Fang Xie; Jing Chao Zhang; Ji Guo Su
Journal:  Eur Biophys J       Date:  2014-11-04       Impact factor: 1.733

2.  Molecular simulation methods in drug discovery: a prospective outlook.

Authors:  Xavier Barril; F Javier Luque
Journal:  J Comput Aided Mol Des       Date:  2011-12-08       Impact factor: 3.686

3.  Accurate flexible fitting of high-resolution protein structures to small-angle x-ray scattering data using a coarse-grained model with implicit hydration shell.

Authors:  Wenjun Zheng; Mustafa Tekpinar
Journal:  Biophys J       Date:  2011-12-20       Impact factor: 4.033

4.  Smoothing protein energy landscapes by integrating folding models with structure prediction.

Authors:  Ari Pritchard-Bell; M Scott Shell
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

Review 5.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

6.  Characterizing protein energy landscape by self-learning multiscale simulations: application to a designed β-hairpin.

Authors:  Wenfei Li; Shoji Takada
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

7.  Recovering physical potentials from a model protein databank.

Authors:  J W Mullinax; W G Noid
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-01       Impact factor: 11.205

8.  Functional modes and residue flexibility control the anisotropic response of guanylate kinase to mechanical stress.

Authors:  Sophie Sacquin-Mora; Olivier Delalande; Marc Baaden
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

9.  Kinematics of the lever arm swing in myosin VI.

Authors:  Mauro L Mugnai; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-16       Impact factor: 11.205

10.  Coarse-grained model for colloidal protein interactions, B(22), and protein cluster formation.

Authors:  Marco A Blanco; Erinc Sahin; Anne S Robinson; Christopher J Roberts
Journal:  J Phys Chem B       Date:  2013-12-10       Impact factor: 2.991

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.