Identification of drug targets for human infectious diseases is dependent on information on several aspects like non-homology to human proteins and proteins of human gut flora, essentiality for survival of the pathogen, druggability, subcellular localization, functional annotation, unique metabolic pathways etc.

Pipeline builder for identification of target (PBIT) has been developed to enable users to access information on all these aspects for studying microbial proteomes. Users can build their own pipeline for target identification by selecting, integrating and executing the independent modules that give information on aspects known to be critical in target discovery.

The sequence database of non-homology analysis against human proteome, non-homology analysis against human anti-targets, non-homology analysis against gut microbiota proteomes, essentiality and virulence analysis and druggability analysis is updated on 13^th May 2022. For previous version of the database, Please click here

Citations:

Online:

Shende G, Haldankar H, Barai R S, Bharmal M H, Shetty V, Idicula-Thomas S. PBIT: pipeline builder for identification of drug targets for infectious diseases. Bioinformatics, Volume 33, Issue 6, 15 March 2017, Pages 929–931. (https://doi.org/10.1093/bioinformatics/btw760)

Offline:

Mukherjee S, Kundu I, Askari M, Barai R S, Venkatesh K V, Idicula-Thomas S. Exploring the druggable proteome of Candida species through comprehensive computational analysis. Genomics, Volume 113, Issue 2,2021, Pages 728-739. (https://doi.org/10.1016/j.ygeno.2020.12.040.)