Patent ID: 7363166
Filing Date: 2008-04-22
Classification: G01N,G16B,Y02A,Y10S

Abstract:
1. A method for identifying a candidate protein useful as an anti-infective, comprising: (a) calculating computationally protein sequence-based attributes from protein sequences of a pathogenic organism, wherein said protein sequences are predicted either from whole or partial genomic sequences, and wherein said protein sequence-based attributes comprise: percentage of charged amino acids, percentage hydrophobicity, distance of protein sequence from a fixed reference frame, measure of dipeptide complexity, and measure of hydrophobicity from a fixed reference frame, and wherein said pathogenic organism is selected from the group consisting of (b) clustering computationally said protein sequences based on said protein sequence-based attributes using Principle Component Analysis; (c) identifying computationally outlier protein sequences, wherein said outlier protein sequences appear outside a main cluster; (d) comparing said outlier protein sequences to protein sequences listed in public sequence databases of organisms including (e) displaying the results of said step (d).