Literature DB >> 9751638

Protein structure prediction.

D R Westhead1, J M Thornton.   

Abstract

Genome sequencing projects continue to provide a flood of new protein sequences, and prediction methods remain an important means of adding structural information. Recently, there have been advances in secondary structure prediction, which feed, in turn, into improved fold recognition algorithms. Finally, there have been technical improvements in comparative modelling, and studies of the expected accuracy of three-dimensional structural models built by this method.

Year:  1998        PMID: 9751638     DOI: 10.1016/s0958-1669(98)80012-8

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  7 in total

1.  Molecular modeling and in vitro activity of an HIV-1-encoded glutathione peroxidase.

Authors:  L Zhao; A G Cox; J A Ruzicka; A A Bhat; W Zhang; E W Taylor
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-06       Impact factor: 11.205

2.  Enhanced protein fold recognition using secondary structure information from NMR.

Authors:  D J Ayers; P R Gooley; A Widmer-Cooper; A E Torda
Journal:  Protein Sci       Date:  1999-05       Impact factor: 6.725

Review 3.  From local structure to a global framework: recognition of protein folds.

Authors:  Agnel Praveen Joseph; Alexandre G de Brevern
Journal:  J R Soc Interface       Date:  2014-04-16       Impact factor: 4.118

4.  Theoretical model of the three-dimensional structure of a sugar-binding protein from Pyrococcus horikoshii: structural analysis and sugar-binding simulations.

Authors:  Anna Marabotti; Sabato D'Auria; Mosé Rossi; Angelo M Facchiano
Journal:  Biochem J       Date:  2004-06-15       Impact factor: 3.857

5.  Bioinformatic analysis of pathogenic missense mutations of activin receptor like kinase 1 ectodomain.

Authors:  Claudia Scotti; Carla Olivieri; Laura Boeri; Cecilia Canzonieri; Federica Ornati; Elisabetta Buscarini; Fabio Pagella; Cesare Danesino
Journal:  PLoS One       Date:  2011-10-18       Impact factor: 3.240

6.  Molecular modeling and characterization of Vibrio cholerae transcription regulator HlyU.

Authors:  Rudra P Saha; Pinak Chakrabarti
Journal:  BMC Struct Biol       Date:  2006-11-20

7.  Support Vector Machines Trained with Evolutionary Algorithms Employing Kernel Adatron for Large Scale Classification of Protein Structures.

Authors:  Nancy Arana-Daniel; Alberto A Gallegos; Carlos López-Franco; Alma Y Alanís; Jacob Morales; Adriana López-Franco
Journal:  Evol Bioinform Online       Date:  2016-12-04       Impact factor: 1.625

  7 in total

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