P C Ng1, J G Henikoff, S Henikoff. 1. Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Abstract
MOTIVATION: Database searching algorithms for proteins use scoring matrices based on average protein properties, and thus are dominated by globular proteins. However, since transmembrane regions of a protein are in a distinctly different environment than globular proteins, one would expect generalized substitution matrices to be inappropriate for transmembrane regions. RESULTS: We present the PHAT (predicted hydrophobic and transmembrane) matrix, which significantly outperforms generalized matrices and a previously published transmembrane matrix in searches with transmembrane queries. We conclude that a better matrix can be constructed by using background frequencies characteristic of the twilight zone, where low-scoring true positives have scores indistinguishable from high-scoring false positives, rather than the amino acid frequencies of the database. The PHAT matrix may help improve the accuracy of sequence alignments and evolutionary trees of membrane proteins.
MOTIVATION: Database searching algorithms for proteins use scoring matrices based on average protein properties, and thus are dominated by globular proteins. However, since transmembrane regions of a protein are in a distinctly different environment than globular proteins, one would expect generalized substitution matrices to be inappropriate for transmembrane regions. RESULTS: We present the PHAT (predicted hydrophobic and transmembrane) matrix, which significantly outperforms generalized matrices and a previously published transmembrane matrix in searches with transmembrane queries. We conclude that a better matrix can be constructed by using background frequencies characteristic of the twilight zone, where low-scoring true positives have scores indistinguishable from high-scoring false positives, rather than the amino acid frequencies of the database. The PHAT matrix may help improve the accuracy of sequence alignments and evolutionary trees of membrane proteins.
Authors: Stephen F Altschul; John C Wootton; E Michael Gertz; Richa Agarwala; Aleksandr Morgulis; Alejandro A Schäffer; Yi-Kuo Yu Journal: FEBS J Date: 2005-10 Impact factor: 5.542
Authors: Thomas J Urban; Ronnie Sebro; Evan H Hurowitz; Maya K Leabman; Ilaria Badagnani; Leah L Lagpacan; Neil Risch; Kathleen M Giacomini Journal: Genome Res Date: 2005-12-14 Impact factor: 9.043