Literature DB >> 10940251

Comparative protein structure modeling of genes and genomes.

M A Martí-Renom1, A C Stuart, A Fiser, R Sánchez, F Melo, A Sali.   

Abstract

Comparative modeling predicts the three-dimensional structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates). The prediction process consists of fold assignment, target-template alignment, model building, and model evaluation. The number of protein sequences that can be modeled and the accuracy of the predictions are increasing steadily because of the growth in the number of known protein structures and because of the improvements in the modeling software. Further advances are necessary in recognizing weak sequence-structure similarities, aligning sequences with structures, modeling of rigid body shifts, distortions, loops and side chains, as well as detecting errors in a model. Despite these problems, it is currently possible to model with useful accuracy significant parts of approximately one third of all known protein sequences. The use of individual comparative models in biology is already rewarding and increasingly widespread. A major new challenge for comparative modeling is the integration of it with the torrents of data from genome sequencing projects as well as from functional and structural genomics. In particular, there is a need to develop an automated, rapid, robust, sensitive, and accurate comparative modeling pipeline applicable to whole genomes. Such large-scale modeling is likely to encourage new kinds of applications for the many resulting models, based on their large number and completeness at the level of the family, organism, or functional network.

Mesh:

Substances:

Year:  2000        PMID: 10940251     DOI: 10.1146/annurev.biophys.29.1.291

Source DB:  PubMed          Journal:  Annu Rev Biophys Biomol Struct        ISSN: 1056-8700


  1088 in total

1.  MODBASE, a database of annotated comparative protein structure models.

Authors:  R Sánchez; U Pieper; N Mirković; P I de Bakker; E Wittenstein; A Sali
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Modeling of loops in protein structures.

Authors:  A Fiser; R K Do; A Sali
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3.  Statistical potentials for fold assessment.

Authors:  Francisco Melo; Roberto Sánchez; Andrej Sali
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

4.  MODBASE, a database of annotated comparative protein structure models.

Authors:  Ursula Pieper; Narayanan Eswar; Ashley C Stuart; Valentin A Ilyin; Andrej Sali
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 5.  Structural genomics: a pipeline for providing structures for the biologist.

Authors:  Mark R Chance; Anne R Bresnick; Stephen K Burley; Jian-Sheng Jiang; Christopher D Lima; Andrej Sali; Steven C Almo; Jeffrey B Bonanno; John A Buglino; Simon Boulton; Hua Chen; Narayanan Eswar; Guoshun He; Raymond Huang; Valentin Ilyin; Linda McMahan; Ursula Pieper; Soumya Ray; Marc Vidal; Li Kai Wang
Journal:  Protein Sci       Date:  2002-04       Impact factor: 6.725

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Journal:  Dev Biol       Date:  2010-10-20       Impact factor: 3.582

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Authors:  Carolyn E Carr; Francesco Musiani; Hsin-Ting Huang; Peter T Chivers; Stefano Ciurli; Michael J Maroney
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10.  Coordinating the impact of structural genomics on the human α-helical transmembrane proteome.

Authors:  Ursula Pieper; Avner Schlessinger; Edda Kloppmann; Geoffrey A Chang; James J Chou; Mark E Dumont; Brian G Fox; Petra Fromme; Wayne A Hendrickson; Michael G Malkowski; Douglas C Rees; David L Stokes; Michael H B Stowell; Michael C Wiener; Burkhard Rost; Robert M Stroud; Raymond C Stevens; Andrej Sali
Journal:  Nat Struct Mol Biol       Date:  2013-02       Impact factor: 15.369

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