Predicting Side Effect of Drug Molecules using Recurrent Neural Networks

arXiv:2305.10473v2 Announce Type: replace-cross
Abstract: Identification and verification of molecular properties such as side effects is one of the most important and time-consuming steps in the process of molecule synthesis. For example, failure to identify side effects before submission to regulatory groups can cost millions of dollars and months of additional research to the companies. Failure to identify side effects during the regulatory review can also cost lives. The complexity and expense of this task have made it a candidate …

abstract arxiv cost cs.lg effects example failure identification identify molecules networks neural networks process q-bio.qm recurrent neural networks regulatory synthesis type verification