Computational method for identifying adhesin and...

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical

Reexamination Certificate

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C530S350000, C128S925000

Reexamination Certificate

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07424370

ABSTRACT:
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 (Pad) as ≧0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.

REFERENCES:
Hobohm et al. J. Mol Biol. (1995) 251,390-399.
Zuegge et al. Gene,280, 19-26, 2001.
Kovezdi et al. Med Res Rev 1999, 19: 249-69, 1999.

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