New method for accurate prediction of solvent accessibility from protein sequence.
A novel method was developed for predicting the solvent accessibility. Based on single sequence data, this method achieved 71.5% accuracy with a correlation coefficient of 0.42 in a database of 704 proteins with threshold of 20% for a two-state-defining solvent accessibility. Prediction in a data subset of 341 monomeric proteins achieved 72.7% accuracy with a correlation coefficient of 0. 43. On the average, prediction over short chains gives better results than that over long chains. With a solvent accessibility threshold of 20%, prediction over 236 monomeric proteins with chain length < 300 amino acid residues achieved 75.3% accuracy with a correlation coefficient of 0.44 by jackknife analysis, which is higher than that obtained by previous methods using multiple sequence alignments.
Li
X
X
National Laboratory of Biomacromolecules, Institute of Biophysics, Academia Sinica, Beijing, China.
Pan
X M
XM
D000465:Algorithms; D000595:Amino Acid Sequence; D000596:Amino Acids / Q000737:chemistry / Q000378:metabolism; D000818:Animals; D016208:Databases, Factual; D006801:Humans; D016014:Linear Models; D008956:Models, Chemical; D008958:Models, Molecular; D011487:Protein Conformation / Q000187:drug effects; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D012997:Solvents / Q000737:chemistry* / Q000378:metabolism / Q000494:pharmacology; D013816:Thermodynamics
D000596:Amino Acids; D011506:Proteins; D012997:Solvents