Literature DB >> 12001227

Ab initio prediction of protein structure using LINUS.

Rajgopal Srinivasan1, George D Rose.   

Abstract

LINUS is an ab initio method for the prediction of protein structure based on simple physical principles. Here we report the performance of LINUS at CASP4, a community wide experiment to predict protein structure in which participants are blinded to the structures they seek to predict. We submitted 13 predictions for this experiment. The best four are described in detail, together with an assessment of secondary structure prediction for the entire set. Coordinates for all predictions are available from the CASP web site (http://predictioncenter.llnl.gov). It should be emphasized that our use of the descriptor "ab initio" is unequivocal: the sole input into these simulations is the amino acid sequence. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12001227     DOI: 10.1002/prot.10103

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


  22 in total

1.  Meeting halfway on the bridge between protein folding theory and experiment.

Authors:  Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-25       Impact factor: 11.205

2.  Reassessing random-coil statistics in unfolded proteins.

Authors:  Nicholas C Fitzkee; George D Rose
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-16       Impact factor: 11.205

3.  Folding Trp-cage to NMR resolution native structure using a coarse-grained protein model.

Authors:  Feng Ding; Sergey V Buldyrev; Nikolay V Dokholyan
Journal:  Biophys J       Date:  2004-11-08       Impact factor: 4.033

4.  The role of protein homochirality in shaping the energy landscape of folding.

Authors:  Vikas Nanda; Aina Andrianarijaona; Chitra Narayanan
Journal:  Protein Sci       Date:  2007-06-28       Impact factor: 6.725

5.  Improving strand pairing prediction through exploring folding cooperativity.

Authors:  Jieun Jeong; Piotr Berman; Teresa M Przytycka
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2008 Oct-Dec       Impact factor: 3.710

6.  An improved hybrid global optimization method for protein tertiary structure prediction.

Authors:  Scott R McAllister; Christodoulos A Floudas
Journal:  Comput Optim Appl       Date:  2010-03-01       Impact factor: 2.167

Review 7.  The protein folding problem.

Authors:  Ken A Dill; S Banu Ozkan; M Scott Shell; Thomas R Weikl
Journal:  Annu Rev Biophys       Date:  2008       Impact factor: 12.981

8.  Counting peptide-water hydrogen bonds in unfolded proteins.

Authors:  Haipeng Gong; Lauren L Porter; George D Rose
Journal:  Protein Sci       Date:  2011-02       Impact factor: 6.725

9.  Markov random fields reveal an N-terminal double beta-propeller motif as part of a bacterial hybrid two-component sensor system.

Authors:  Matt Menke; Bonnie Berger; Lenore Cowen
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-10       Impact factor: 11.205

10.  ASTRO-FOLD 2.0: an Enhanced Framework for Protein Structure Prediction.

Authors:  A Subramani; Y Wei; C A Floudas
Journal:  AIChE J       Date:  2011-05-31       Impact factor: 3.993

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