Literature DB >> 11121307

Surface beta-strands in proteins: identification using an hydropathy technique.

C C Palliser1, M W MacArthur, D A Parry.   

Abstract

From a representative set of monomeric globular proteins with known three-dimensional structures, beta-strands with lengths > or = 5 amino acids have been identified and catalogued. By ascertaining the accessible surface areas of the constituent residues in these strands, and by checking whether the exposed/buried pattern is 80% or more similar to that in an idealized surface strand, a subset of structures can be delineated in which the beta-strands are all sited on the surface of the protein. The corresponding sequence data show that about 50% of the residues are apolar (Val, Ile, Leu, Phe, Tyr, Ala) and that the common occurrence of valine (14.3%), isoleucine (9.6%), and threonine (8.1%) is a characteristic feature. The frequencies of occurrence of those amino acids in the strands that face the aqueous environment and the interior have also been determined separately and show that most surface strands have a substructure of the form (apolar-X)(n), where X is approximately equally divided between apolar, charged, and hydrophilic residues. Using the frequency data thus obtained, allied with an algorithm to delineate potential surface beta-strands from characteristic hydropathy profiles, it is now possible to search through the sequences of proteins with unknown tertiary structures and make realistic predictions of the presence of this element of structure on the protein surface. In addition, new data are presented on the distribution of the various types of residues on the surface of proteins and in their interior. Significant differences were observed, not all of which have been identified previously. Furthermore, the distribution of the types of residue in a surface beta-strand was compared to that corresponding to the surfaces of all of the proteins in our database. Again, very characteristic differences were observed. These are helpful in recognizing the presence of surface beta-strands. Copyright 2000 Academic Press.

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Year:  2000        PMID: 11121307     DOI: 10.1006/jsbi.2000.4304

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  1 in total

1.  An algorithm for predicting protein-protein interaction sites: Abnormally exposed amino acid residues and secondary structure elements.

Authors:  Jemima Hoskins; Simon Lovell; Tom L Blundell
Journal:  Protein Sci       Date:  2006-05       Impact factor: 6.725

  1 in total

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