Cando.py: Open Source Software for Predictive Bioanalytics of Large Scale Drug-Protein-Disease Data.

ABSTRACT: Traditional drug discovery methods focus on optimizing the efficacy of a drug against a single biological target of interest for a specific disease. However, evidence supports the multitarget theory, i.e., drugs work by exerting their therapeutic effects via interaction with multiple biological targets, which have multiple phenotypic effects. Analytics of drug-protein interactions on a large proteomic scale provides insight into disease systems while also allowing for prediction of putative therapeutics against specific indications. We present a Python package for analysis of drug-proteome and drug-disease relationships implementing the Computational Analysis of Novel Drug Opportunities (CANDO) platform. The CANDO package allows for rapid drug similarity assessment, most notably via an in-

SUBMITTER: Mangione W 

PROVIDER: S-EPMC8098009 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature