Council of Scientific and Industrial Research

Srinivasan Ramachandran

Samir Kumar Brahmachari

Gaurav Sachdeva

Preti Jain

Tannistha Nandi

Kaushal Kumar

Chandrika Bhimarao

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) as &#x2267;0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.

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

The present invention relates to a novel method for the identification of candidate proteins in pathogens useful as anti-infectives and more particularly, the present invention describes a novel computational method involving calculation of several sequence attributes and their subsequent analysis lead to the identification of some outlier proteins in different pathogens which are either vaccine candidates, diagnostics or drug targets and also are provided the genes encoding the candidate proteins.

Computational method for the identification of candidate proteins useful as anti-infectives

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Delhi, India

Srinivasan Ramachandran