Literature DB >> 16524833

Rigorous performance evaluation in protein structure modelling and implications for computational biology.

John Moult1.   

Abstract

In principle, given the amino acid sequence of a protein, it is possible to compute the corresponding three-dimensional structure. Methods for modelling structure based on this premise have been under development for more than 40 years. For the past decade, a series of community wide experiments (termed Critical Assessment of Structure Prediction (CASP)) have assessed the state of the art, providing a detailed picture of what has been achieved in the field, where we are making progress, and what major problems remain. The rigorous evaluation procedures of CASP have been accompanied by substantial progress. Lessons from this area of computational biology suggest a set of principles for increasing rigor in the field as a whole.

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Year:  2006        PMID: 16524833      PMCID: PMC1609338          DOI: 10.1098/rstb.2005.1810

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  36 in total

1.  Predictions without templates: new folds, secondary structure, and contacts in CASP5.

Authors:  Patrick Aloy; Alexander Stark; Caroline Hadley; Robert B Russell
Journal:  Proteins       Date:  2003

2.  Gaps in structurally similar proteins: towards improvement of multiple sequence alignment.

Authors:  James O Wrabl; Nick V Grishin
Journal:  Proteins       Date:  2004-01-01

3.  Have we seen all structures corresponding to short protein fragments in the Protein Data Bank? An update.

Authors:  Peicheng Du; Michael Andrec; Ronald M Levy
Journal:  Protein Eng       Date:  2003-06

4.  Improving fold recognition without folds.

Authors:  Dariusz Przybylski; Burkhard Rost
Journal:  J Mol Biol       Date:  2004-07-30       Impact factor: 5.469

5.  Assessing predictions of protein-protein interaction: the CAPRI experiment.

Authors:  Joël Janin
Journal:  Protein Sci       Date:  2005-02       Impact factor: 6.725

Review 6.  Progress in modeling of protein structures and interactions.

Authors:  Ora Schueler-Furman; Chu Wang; Phil Bradley; Kira Misura; David Baker
Journal:  Science       Date:  2005-10-28       Impact factor: 47.728

7.  Base-calling of automated sequencer traces using phred. II. Error probabilities.

Authors:  B Ewing; P Green
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

8.  Genome annotation assessment in Drosophila melanogaster.

Authors:  M G Reese; G Hartzell; N L Harris; U Ohler; J F Abril; S E Lewis
Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

9.  Prediction of protein secondary structure at better than 70% accuracy.

Authors:  B Rost; C Sander
Journal:  J Mol Biol       Date:  1993-07-20       Impact factor: 5.469

10.  Trans-editing of Cys-tRNAPro by Haemophilus influenzae YbaK protein.

Authors:  Songon An; Karin Musier-Forsyth
Journal:  J Biol Chem       Date:  2004-08-20       Impact factor: 5.157

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  15 in total

1.  RNA-Puzzles: a CASP-like evaluation of RNA three-dimensional structure prediction.

Authors:  José Almeida Cruz; Marc-Frédérick Blanchet; Michal Boniecki; Janusz M Bujnicki; Shi-Jie Chen; Song Cao; Rhiju Das; Feng Ding; Nikolay V Dokholyan; Samuel Coulbourn Flores; Lili Huang; Christopher A Lavender; Véronique Lisi; François Major; Katarzyna Mikolajczak; Dinshaw J Patel; Anna Philips; Tomasz Puton; John Santalucia; Fredrick Sijenyi; Thomas Hermann; Kristian Rother; Magdalena Rother; Alexander Serganov; Marcin Skorupski; Tomasz Soltysinski; Parin Sripakdeevong; Irina Tuszynska; Kevin M Weeks; Christina Waldsich; Michael Wildauer; Neocles B Leontis; Eric Westhof
Journal:  RNA       Date:  2012-02-23       Impact factor: 4.942

2.  An automatic method for CASP9 free modeling structure prediction assessment.

Authors:  Qian Cong; Lisa N Kinch; Jimin Pei; Shuoyong Shi; Vyacheslav N Grishin; Wenlin Li; Nick V Grishin
Journal:  Bioinformatics       Date:  2011-10-12       Impact factor: 6.937

3.  Introduction. Bioinformatics: from molecules to systems.

Authors:  David T Jones; Michael J E Sternberg; Janet M Thornton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-03-29       Impact factor: 6.237

4.  Consensus Data Mining (CDM) Protein Secondary Structure Prediction Server: combining GOR V and Fragment Database Mining (FDM).

Authors:  Haitao Cheng; Taner Z Sen; Robert L Jernigan; Andrzej Kloczkowski
Journal:  Bioinformatics       Date:  2007-07-27       Impact factor: 6.937

5.  Towards a rigorous assessment of systems biology models: the DREAM3 challenges.

Authors:  Robert J Prill; Daniel Marbach; Julio Saez-Rodriguez; Peter K Sorger; Leonidas G Alexopoulos; Xiaowei Xue; Neil D Clarke; Gregoire Altan-Bonnet; Gustavo Stolovitzky
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

Review 6.  Protein structure prediction and model quality assessment.

Authors:  Andriy Kryshtafovych; Krzysztof Fidelis
Journal:  Drug Discov Today       Date:  2009-01-15       Impact factor: 7.851

7.  Conformation of a plasmid replication initiator protein affects its proteolysis by ClpXP system.

Authors:  Marcin Pierechod; Agnieszka Nowak; Anna Saari; Elzbieta Purta; Janusz M Bujnicki; Igor Konieczny
Journal:  Protein Sci       Date:  2009-03       Impact factor: 6.725

Review 8.  Hybrid approaches: applying computational methods in cryo-electron microscopy.

Authors:  Steffen Lindert; Phoebe L Stewart; Jens Meiler
Journal:  Curr Opin Struct Biol       Date:  2009-03-30       Impact factor: 6.809

9.  Bioinformatics and computational biology in Poland.

Authors:  Janusz M Bujnicki; Jerzy Tiuryn
Journal:  PLoS Comput Biol       Date:  2013-05-02       Impact factor: 4.475

10.  CompaRNA: a server for continuous benchmarking of automated methods for RNA secondary structure prediction.

Authors:  Tomasz Puton; Lukasz P Kozlowski; Kristian M Rother; Janusz M Bujnicki
Journal:  Nucleic Acids Res       Date:  2013-02-21       Impact factor: 16.971

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