Patent ID: 7424370

Claim:
A computational method for identifying adhesin proteins, said method comprising steps of: a. computing the sequence-based defined attributes of protein sequences using five attribute modules of Software for Prediction of Adhesin and Adhesin-like proteins using Neural Networks (SPAAN), (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies of NG, RE, TN, NT, GT, TT, DE, ER, RR, RK, RI, AT, TS, IV, SG, GS, TG, GN, VI and HR, (iv) charge composition, and (v) hydrophobic composition, b. training artificial neural Network (ANN), one network for each of the computed five attributes by feeding the input data into the input layer of neurons, c. identifying as an adhesin a protein having a weighted average probability of being an adhesin (P ad ) value (optimal threshold) of ≧0.51, and d. outputting sequence of identified protein to the user.