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Titolo:
Prediction of protein surface accessibility with information theory
Autore:
Naderi-Manesh, H; Sadeghi, M; Arab, S; Movahedi, AAM;
Indirizzi:
Univ Tehran, Inst Biochem & Biophys, Tehran, Iran Univ Tehran Tehran Iran iv Tehran, Inst Biochem & Biophys, Tehran, Iran Tarbiat Modarres Univ, Fac Sci, Dept Biophys, Tehran, Iran Tarbiat Modarres Univ Tehran Iran , Fac Sci, Dept Biophys, Tehran, Iran
Titolo Testata:
PROTEINS-STRUCTURE FUNCTION AND GENETICS
fascicolo: 4, volume: 42, anno: 2001,
pagine: 452 - 459
SICI:
0887-3585(20010301)42:4<452:POPSAW>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
SECONDARY STRUCTURE PREDICTION; AMINO-ACID-SEQUENCES; HYDROPHOBIC CLUSTER-ANALYSIS; SOLVENT ACCESSIBILITY; HOMOLOGOUS PROTEINS; MEMBRANE-PROTEINS; GLOBULAR-PROTEINS; RECOGNITION; ENVIRONMENT; PARAMETERS;
Keywords:
protein structure prediction; solvent accessibility; hydropathy scale; local environment; pairwise information;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
46
Recensione:
Indirizzi per estratti:
Indirizzo: Naderi-Manesh, H TMU Tehran, Dept Biophys Biochem, POB 14115-111, Tehran, Iran TMU Tehran POB 14115-111 Tehran Iran -111, Tehran, Iran
Citazione:
H. Naderi-Manesh et al., "Prediction of protein surface accessibility with information theory", PROTEINS, 42(4), 2001, pp. 452-459

Abstract

A new, simple method based on information theory is introduced to predict the solvent accessibility of amino acid residues in various states defined by their different thresholds. Prediction is achieved by the application ofinformation obtained from a single amino acid position or pair-informationfor a window of seventeen amino acids around the desired residue. Results obtained by pairwise information values are better than re suits from single amino acids. This reinforces the effect of the local environment on the accessibility of amino acid residues. The prediction accuracy of this methodin a jackknife test system for two and three states is better than 70 and 60%, respectively. A comparison of the results with those reported by others involving the same data set also testifies to a better prediction accuracy in our case. (C) 2001 Wiley-Liss, Inc.

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Documento generato il 21/10/20 alle ore 11:00:11