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C C Palliser

Publications and source records attributed to C C Palliser.

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Quantitative comparison of the ability of hydropathy scales to recognize surface beta-strands in proteins.

Methods based on the use of hydropathy scales have been used widely to ascertain the secondary structures of proteins. However, over 100 such scales have been reported in the literature, and which of these is the most successful in terms of the prediction rate of the correct structure is not clear. This article, therefore, reports a comprehensive analysis of the relative success of hydropathy scales to locate beta-strands on the surfaces of proteins. The technique we used is based on the technique proposed by Fraser and Parry, but it includes a modification that allows a higher rate of successful prediction and a lower rate of overprediction. We used as a basis for assessing the predictions a database of sequence-unique structures that we previously established. Proteins 2001;42:243-255.

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

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.

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