Literature DB >> 8386361

Design of a discriminating fingerprint for G-protein-coupled receptors.

T K Attwood1, J B Findlay.   

Abstract

A systematic method for designing discriminating protein sequence fingerprints is described. The approach used is iterative, and diagnostic performance is evaluated in terms of the relative abilities of sequences to match with individual elements of the fingerprint. The method allows complete protein folds to be characterized in terms of a number of separate 'features', without the requirement to define specific intervals between them, and is described here with reference to the derivation of a fingerprint for G-protein-coupled receptors: this comprises the seven hydrophobic regions shown by protein chemistry approaches to be membrane-spanning. The fingerprint is potently diagnostic of all sequences of this type in the database in which it was derived (the OWL composite sequence database, version 8.1), and has continued to perform well on subsequent database updates, identifying 240 receptors in OWL17.0. Results are compared with a commonly used pattern template for this class of receptors. The investigation suggests that discriminating power is improved in the fingerprint approach because the recognition of individual features is made mutually conditional. Furthermore, by avoiding the definition of predetermined feature separations, members of protein families possessing all or only part of the fingerprint may be identified.

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Year:  1993        PMID: 8386361     DOI: 10.1093/protein/6.2.167

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  19 in total

1.  Modeling and docking the endothelin G-protein-coupled receptor.

Authors:  A J Orry; B A Wallace
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

2.  G protein-coupled receptors: the evolution of structural insight.

Authors:  Samantha B Gacasan; Daniel L Baker; Abby L Parrill
Journal:  AIMS Biophys       Date:  2017-08-21

3.  BUNDLE: a program for building the transmembrane domains of G-protein-coupled receptors.

Authors:  M Filizola; J J Perez; M Cartenì-Farina
Journal:  J Comput Aided Mol Des       Date:  1998-03       Impact factor: 3.686

4.  Computational learning reveals coiled coil-like motifs in histidine kinase linker domains.

Authors:  M Singh; B Berger; P S Kim; J M Berger; A G Cochran
Journal:  Proc Natl Acad Sci U S A       Date:  1998-03-17       Impact factor: 11.205

5.  The PRINTS protein fingerprint database in its fifth year.

Authors:  T K Attwood; M E Beck; D R Flower; P Scordis; J N Selley
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

6.  Novel developments with the PRINTS protein fingerprint database.

Authors:  T K Attwood; M E Beck; A J Bleasby; K Degtyarenko; A D Michie; D J Parry-Smith
Journal:  Nucleic Acids Res       Date:  1997-01-01       Impact factor: 16.971

7.  Automated method for modeling seven-helix transmembrane receptors from experimental data.

Authors:  P Herzyk; R E Hubbard
Journal:  Biophys J       Date:  1995-12       Impact factor: 4.033

8.  Progress with the PRINTS protein fingerprint database.

Authors:  T K Attwood; M E Beck; A J Bleasby; K Degtyarenko; D J Parry Smith
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

9.  PRINTS--a database of protein motif fingerprints.

Authors:  T K Attwood; M E Beck; A J Bleasby; D J Parry-Smith
Journal:  Nucleic Acids Res       Date:  1994-09       Impact factor: 16.971

10.  A model for the evaluation of domain based classification of GPCR.

Authors:  Tannu Kumari; Bhaskar Pant; Kamalraj Raj Pardasani
Journal:  Bioinformation       Date:  2009-10-11
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