PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence.
Nucleic Acids Res
; 34(Web Server issue): W32-7, 2006 Jul 01.
Article
em En
| MEDLINE
| ID: mdl-16845018
ABSTRACT
Sequence-derived structural and physicochemical features have frequently been used in the development of statistical learning models for predicting proteins and peptides of different structural, functional and interaction profiles. PROFEAT (Protein Features) is a web server for computing commonly-used structural and physicochemical features of proteins and peptides from amino acid sequence. It computes six feature groups composed of ten features that include 51 descriptors and 1447 descriptor values. The computed features include amino acid composition, dipeptide composition, normalized Moreau-Broto autocorrelation, Moran autocorrelation, Geary autocorrelation, sequence-order-coupling number, quasi-sequence-order descriptors and the composition, transition and distribution of various structural and physicochemical properties. In addition, it can also compute previous autocorrelations descriptors based on user-defined properties. Our computational algorithms were extensively tested and the computed protein features have been used in a number of published works for predicting proteins of functional classes, protein-protein interactions and MHC-binding peptides. PROFEAT is accessible at http//jing.cz3.nus.edu.sg/cgi-bin/prof/prof.cgi.
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Peptídeos
/
Software
/
Proteínas
/
Biologia Computacional
/
Análise de Sequência de Proteína
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Nucleic Acids Res
Ano de publicação:
2006
Tipo de documento:
Article