Literature DB >> 11959494

Ab initio protein structure prediction.

Corey Hardin1, Taras V Pogorelov, Zaida Luthey-Schulten.   

Abstract

Steady progress has been made in the field of ab initio protein folding. A variety of methods now allow the prediction of low-resolution structures of small proteins or protein fragments up to approximately 100 amino acid residues in length. Such low-resolution structures may be sufficient for the functional annotation of protein sequences on a genome-wide scale. Although no consistently reliable algorithm is currently available, the essential challenges to developing a general theory or approach to protein structure prediction are better understood. The energy landscapes resulting from the structure prediction algorithms are only partially funneled to the native state of the protein. This review focuses on two areas of recent advances in ab initio structure prediction-improvements in the energy functions and strategies to search the caldera region of the energy landscapes.

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Year:  2002        PMID: 11959494     DOI: 10.1016/s0959-440x(02)00306-8

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


  38 in total

1.  Reducing the computational complexity of protein folding via fragment folding and assembly.

Authors:  Nurit Haspel; Chung-Jung Tsai; Haim Wolfson; Ruth Nussinov
Journal:  Protein Sci       Date:  2003-06       Impact factor: 6.725

2.  Associative memory Hamiltonians for structure prediction without homology: alpha/beta proteins.

Authors:  Corey Hardin; Michael P Eastwood; Michael C Prentiss; Zadia Luthey-Schulten; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2003-01-28       Impact factor: 11.205

3.  Database-derived potentials dependent on protein size for in silico folding and design.

Authors:  Yves Dehouck; Dimitri Gilis; Marianne Rooman
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

4.  TASSER_WT: a protein structure prediction algorithm with accurate predicted contact restraints for difficult protein targets.

Authors:  Seung Yup Lee; Jeffrey Skolnick
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

Review 5.  Selection on protein structure, interaction, and sequence.

Authors:  Peter B Chi; David A Liberles
Journal:  Protein Sci       Date:  2016-02-11       Impact factor: 6.725

6.  Electric charge balance mechanism of extended soluble proteins.

Authors:  Nobuyuki Uchikoga; Shun-Ya Takahashi; Runcong Ke; Masashi Sonoyama; Shigeki Mitaku
Journal:  Protein Sci       Date:  2004-12-02       Impact factor: 6.725

7.  Efficient and reliable calculation of Rice-Ramsperger-Kassel-Marcus unimolecular reaction rate constants for biopolymers: modification of Beyer-Swinehart algorithm for degenerate vibrations.

Authors:  Jeong Hee Moon; Meiling Sun; Myung Soo Kim
Journal:  J Am Soc Mass Spectrom       Date:  2007-03-30       Impact factor: 3.109

Review 8.  Exploring conformational space using a mean field technique with MOLS sampling.

Authors:  P Arun Prasad; V Kanagasabai; J Arunachalam; N Gautham
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

9.  A comparative study of the reported performance of ab initio protein structure prediction algorithms.

Authors:  Glennie Helles
Journal:  J R Soc Interface       Date:  2008-04-06       Impact factor: 4.118

10.  Overlapping genes produce proteins with unusual sequence properties and offer insight into de novo protein creation.

Authors:  Corinne Rancurel; Mahvash Khosravi; A Keith Dunker; Pedro R Romero; David Karlin
Journal:  J Virol       Date:  2009-07-29       Impact factor: 5.103

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