SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks | Zendy

Gaurav Sachdeva | Zendy; Kaushal Kumar | Zendy; Preti Jain | Zendy; Srinivasan Ramachandran | Zendy

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SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks

Author(s) -

Gaurav Sachdeva,

Kaushal Kumar,

Preti Jain,

Srinivasan Ramachandran

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti028

Subject(s) - bacterial adhesin , glycoprotein , biology , artificial neural network , computational biology , computer science , microbiology and biotechnology , escherichia coli , gene , genetics , artificial intelligence

The adhesion of microbial pathogens to host cells is mediated by adhesins. Experimental methods used for characterizing adhesins are time-consuming and demand large resources. The availability of specialized software can rapidly aid experimenters in simplifying this problem. We have employed 105 compositional properties and artificial neural networks to develop SPAAN, which predicts the probability of a protein being an adhesin (Pad).

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