Literature DB >> 9687369

Protein folds and functions.

A C Martin1, C A Orengo, E G Hutchinson, S Jones, M Karmirantzou, R A Laskowski, J B Mitchell, C Taroni, J M Thornton.   

Abstract

BACKGROUND: The recent rapid increase in the number of available three-dimensional protein structures has further highlighted the necessity to understand the relationship between biological function and structure. Using structural classification schemes such as SCOP, CATH and DALI, it is now possible to explore global relationships between protein fold and function, something which was previously impractical.
RESULTS: Using a relational database of CATH data we have generated fold distributions for arbitrary selections of proteins automatically. These distributions have been examined in the light of protein function and bound ligand. Different enzyme classes are not clearly reflected in distributions of protein class and architecture, whereas the type of bound ligand has a much more dramatic effect.
CONCLUSIONS: The availability of structural classification data has enabled this novel overview analysis. We conclude that function at the top level of the EC number enzyme classification is not related to fold, as only a very few specific residues are actually responsible for enzyme activity. Conversely, the fold is much more closely related to ligand type.

Mesh:

Substances:

Year:  1998        PMID: 9687369     DOI: 10.1016/s0969-2126(98)00089-6

Source DB:  PubMed          Journal:  Structure        ISSN: 0969-2126            Impact factor:   5.006


  47 in total

1.  The Hans Neurath Award lecture of The Protein Society: proteins-- a testament to physics, chemistry, and evolution.

Authors:  J M Thornton
Journal:  Protein Sci       Date:  2001-01       Impact factor: 6.725

2.  Expectations from structural genomics.

Authors:  S E Brenner; M Levitt
Journal:  Protein Sci       Date:  2000-01       Impact factor: 6.725

3.  Analysis of the yeast transcriptome with structural and functional categories: characterizing highly expressed proteins.

Authors:  R Jansen; M Gerstein
Journal:  Nucleic Acids Res       Date:  2000-03-15       Impact factor: 16.971

4.  Barrel structures in proteins: automatic identification and classification including a sequence analysis of TIM barrels.

Authors:  N Nagano; E G Hutchinson; J M Thornton
Journal:  Protein Sci       Date:  1999-10       Impact factor: 6.725

5.  Genome analysis: Assigning protein coding regions to three-dimensional structures.

Authors:  A A Salamov; M Suwa; C A Orengo; M B Swindells
Journal:  Protein Sci       Date:  1999-04       Impact factor: 6.725

6.  On hydrophobicity correlations in protein chains.

Authors:  A Irbäck; E Sandelin
Journal:  Biophys J       Date:  2000-11       Impact factor: 4.033

7.  Annotation transfer for genomics: measuring functional divergence in multi-domain proteins.

Authors:  H Hegyi; M Gerstein
Journal:  Genome Res       Date:  2001-10       Impact factor: 9.043

8.  FoldMiner: structural motif discovery using an improved superposition algorithm.

Authors:  Jessica Shapiro; Douglas Brutlag
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

Review 9.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

10.  The PFP and ESG protein function prediction methods in 2014: effect of database updates and ensemble approaches.

Authors:  Ishita K Khan; Qing Wei; Samuel Chapman; Dukka B Kc; Daisuke Kihara
Journal:  Gigascience       Date:  2015-09-14       Impact factor: 6.524

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.