Biomedical Informatics Centre, ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, Maharashtra, India.
Department of Bioinformatics, Guru Nanak Khalsa College, Nathalal Parekh Marg, Mumbai, Maharashtra, India.
Protein Sci. 2024 Feb;33(2):e4892. doi: 10.1002/pro.4892.
Rise of life-threatening superbugs, pandemics and epidemics warrants the need for cost-effective and novel pharmacological interventions. Availability of publicly available proteomes of pathogens supports development of high-throughput discovery platforms to prioritize potential drug-targets and develop testable hypothesis for pharmacological screening. The pipeline builder for identification of target (PBIT) was developed in 2016 and updated in 2021, with the purpose of accelerating the search for drug-targets by integration of methods like comparative and subtractive genomics, essentiality/virulence and druggability analysis. Since then, it has been used for identification of drugs and vaccine targets, safety profiling of multiepitope vaccines and mRNA vaccine construction against a broad-spectrum of pathogens. This tool has now been updated with functionalities related to systems biology and immuno-informatics and validated by analyzing 48 putative antigens of Mycobacterium tuberculosis documented in literature. PBIT available as both online and offline tools will enhance drug discovery against emerging drug-resistant infectious agents. PBIT can be freely accessed at http://pbit.bicnirrh.res.in/.
危及生命的超级细菌的出现、大流行病和传染病的爆发,都需要具有成本效益和新颖的药理学干预措施。病原体的公共可用蛋白质组的可用性支持高通量发现平台的开发,以优先考虑潜在的药物靶点,并为药理学筛选制定可测试的假设。目标识别管道构建器 (PBIT) 于 2016 年开发,并于 2021 年更新,目的是通过整合比较和减法基因组学、必需性/毒力和可药性分析等方法,加速药物靶点的搜索。从那时起,它已被用于鉴定药物和疫苗靶点、多表位疫苗的安全性分析以及针对广泛病原体的 mRNA 疫苗构建。该工具现在已通过分析文献中记录的 48 种结核分枝杆菌的推定抗原进行了与系统生物学和免疫信息学相关的功能更新和验证。在线和离线工具都可提供 PBIT,以增强针对新兴耐药性传染病的药物发现。可在 http://pbit.bicnirrh.res.in/ 免费访问 PBIT。