Computational method for identifying adhesin and adhesin-like proteins of therapeutic potential

摘要

A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (P_ad) as ≧0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.