Computational Identification of Inhibitors Using QSAR Approach Against Nipah Virus.

ABSTRACT: Nipah virus (NiV) caused several outbreaks in Asian countries including the latest one from Kerala state of India. There is no drug available against NiV till now, despite its urgent requirement. In the current study, we have provided a computational one-stop solution for NiV inhibitors. We have developed the first "anti-Nipah" web resource, which comprising of a data repository, prediction method, and data visualization module. The database contains of 313 (181 unique) chemicals extracted from research articles and patents, which were tested for different strains of NiV isolated from various outbreaks. Moreover, the quantitative structure-activity relationship (QSAR) based regression predictors were developed using chemicals having half maximal inhibitory concentration (IC_50</

SUBMITTER: Rajput A 

PROVIDER: S-EPMC6379726 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature