FungalRV: adhesin prediction and immunoinformatics portal for human fungal pathogens.

ABSTRACT:

Background

The availability of sequence data of human pathogenic fungi generates opportunities to develop Bioinformatics tools and resources for vaccine development towards benefitting at-risk patients.

Description

We have developed a fungal adhesin predictor and an immunoinformatics database with predicted adhesins. Based on literature search and domain analysis, we prepared a positive dataset comprising adhesin protein sequences from human fungal pathogens Candida albicans, Candida glabrata, Aspergillus fumigatus, Coccidioides immitis, Coccidioides posadasii, Histoplasma capsulatum, Blastomyces dermatitidis, Pneumocystis carinii, Pneumocystis jirovecii and Paracoccidioides brasiliensis. The negative dataset consisted of proteins with high probability to function intracellu

SUBMITTER: Chaudhuri R 

PROVIDER: S-EPMC3224177 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature