Literature DB >> 12577259

Folding in lipid membranes (FILM): a novel method for the prediction of small membrane protein 3D structures.

M Pellegrini-Calace1, A Carotti, D T Jones.   

Abstract

We present the results of applying a novel knowledge-based method (FILM) to the prediction of small membrane protein structures. The basis of the method is the addition of a membrane potential to the energy terms (pairwise, solvation, steric, and hydrogen bonding) of a previously developed ab initio technique for the prediction of tertiary structure of globular proteins (FRAGFOLD). The method is based on the assembly of supersecondary structural fragments taken from a library of highly resolved protein structures using a standard simulated annealing algorithm. The membrane potential has been derived by the statistical analysis of a data set made of 640 transmembrane helices with experimentally defined topology and belonging to 133 proteins extracted from the SWISS-PROT database. Results obtained by applying the method to small membrane proteins of known 3D structure show that the method is able to predict, at a reasonable accuracy level, both the helix topology and the conformations of these proteins. Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12577259     DOI: 10.1002/prot.10304

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  14 in total

1.  An automatic method for predicting transmembrane protein structures using cryo-EM and evolutionary data.

Authors:  Sarel J Fleishman; Susan Harrington; Richard A Friesner; Barry Honig; Nir Ben-Tal
Journal:  Biophys J       Date:  2004-08-31       Impact factor: 4.033

2.  Accurate de novo structure prediction of large transmembrane protein domains using fragment-assembly and correlated mutation analysis.

Authors:  Timothy Nugent; David T Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

3.  Multipass membrane protein structure prediction using Rosetta.

Authors:  Vladimir Yarov-Yarovoy; Jack Schonbrun; David Baker
Journal:  Proteins       Date:  2006-03-01

4.  Positioning of proteins in membranes: a computational approach.

Authors:  Andrei L Lomize; Irina D Pogozheva; Mikhail A Lomize; Henry I Mosberg
Journal:  Protein Sci       Date:  2006-06       Impact factor: 6.725

5.  A generalized born implicit-membrane representation compared to experimental insertion free energies.

Authors:  Martin B Ulmschneider; Jakob P Ulmschneider; Mark S P Sansom; Alfredo Di Nola
Journal:  Biophys J       Date:  2007-01-11       Impact factor: 4.033

Review 6.  Membrane protein prediction methods.

Authors:  Marco Punta; Lucy R Forrest; Henry Bigelow; Andrew Kernytsky; Jinfeng Liu; Burkhard Rost
Journal:  Methods       Date:  2007-04       Impact factor: 3.608

Review 7.  Towards genome-scale structure prediction for transmembrane proteins.

Authors:  Naama Hurwitz; Marialuisa Pellegrini-Calace; David T Jones
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-03-29       Impact factor: 6.237

8.  Predicting transmembrane helix packing arrangements using residue contacts and a force-directed algorithm.

Authors:  Timothy Nugent; David T Jones
Journal:  PLoS Comput Biol       Date:  2010-03-19       Impact factor: 4.475

9.  Prediction, refinement, and persistency of transmembrane helix dimers in lipid bilayers using implicit and explicit solvent/lipid representations: microsecond molecular dynamics simulations of ErbB1/B2 and EphA1.

Authors:  Liqun Zhang; Alexander J Sodt; Richard M Venable; Richard W Pastor; Matthias Buck
Journal:  Proteins       Date:  2012-11-05

10.  RHYTHM--a server to predict the orientation of transmembrane helices in channels and membrane-coils.

Authors:  Alexander Rose; Stephan Lorenzen; Andrean Goede; Björn Gruening; Peter W Hildebrand
Journal:  Nucleic Acids Res       Date:  2009-05-22       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.