Predicting novel drug candidates against Covid-19 using generative deep neural networks.

ABSTRACT: The novel Coronavirus outbreak has created a massive economic crisis, and many succumb to death, disturbing the lives of mankind all over the world. Currently, there are no viable treatment for this condition, drug development approaches are being pursued with vigor. The major treatment options are to repurpose existing drugs or to find new ones. Traditional methods for drug discovery take a longer time, so there is an urgent need to develop some alternative techniques that reduces search space for drug candidates. Towards this endeavor, we propose a novel drug discovery method that leverages on long short term memory (LSTM) model to generate novel molecules that are adept at binding with novel Coronavirus protease. Our study demonstrates that the proposed method is able to recreate novel

SUBMITTER: Amilpur S 

PROVIDER: S-EPMC8510991 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature