Literature DB >> 15193310

The interplay of fold recognition and experimental structure determination in structural genomics.

Iddo Friedberg1, Lukasz Jaroszewski, Yuzhen Ye, Adam Godzik.   

Abstract

Achieving the goals of structural genomics initiatives depends on the outcomes of two groups of factors: the number and distribution of experimentally determined protein structures, and our ability to assign novel proteins to known structures (fold recognition) and use them to build models (modeling). The quality of the tools used for fold recognition defines the scope of experimental effort - the more distant the templates that can be recognized, the smaller the number of proteins that have to be solved. Recent improvements in fold recognition may have suggested that the goals of structural genomics initiatives are getting closer. However, problems that surfaced during the first few years of active work have put many of the early estimates in doubt and new ones are still slow in coming.

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Year:  2004        PMID: 15193310     DOI: 10.1016/j.sbi.2004.04.005

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


  7 in total

1.  Atomic interaction networks in the core of protein domains and their native folds.

Authors:  Venkataramanan Soundararajan; Rahul Raman; S Raguram; V Sasisekharan; Ram Sasisekharan
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

2.  Basis for substrate recognition and distinction by matrix metalloproteinases.

Authors:  Boris I Ratnikov; Piotr Cieplak; Kosi Gramatikoff; James Pierce; Alexey Eroshkin; Yoshinobu Igarashi; Marat Kazanov; Qing Sun; Adam Godzik; Andrei Osterman; Boguslaw Stec; Alex Strongin; Jeffrey W Smith
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-22       Impact factor: 11.205

3.  Effect of using suboptimal alignments in template-based protein structure prediction.

Authors:  Hao Chen; Daisuke Kihara
Journal:  Proteins       Date:  2011-01

4.  Modeling of loops in proteins: a multi-method approach.

Authors:  Michal Jamroz; Andrzej Kolinski
Journal:  BMC Struct Biol       Date:  2010-02-11

5.  Accuracy of protein-protein binding sites in high-throughput template-based modeling.

Authors:  Petras J Kundrotas; Ilya A Vakser
Journal:  PLoS Comput Biol       Date:  2010-04-01       Impact factor: 4.475

6.  A quality metric for homology modeling: the H-factor.

Authors:  Eric di Luccio; Patrice Koehl
Journal:  BMC Bioinformatics       Date:  2011-02-04       Impact factor: 3.169

7.  A modular kernel approach for integrative analysis of protein domain boundaries.

Authors:  Paul D Yoo; Bing Bing Zhou; Albert Y Zomaya
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

  7 in total

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