Aim: AI systems in organic chemistry can facilitate chemical reactions by enforcing catalysts and
recognizing chemical prop erties with the help of space structure and cause possible reactions to
provide, therefor AI in organic chemistry plays an important role and can be a helpful tool for design
with de novo strategies drugs and prediction molecular domain of chemical compound.
Methods: To evaluate this goal in this narrative paper we searched PubMed, CINAHl, and psyc
INFO, and a total of 3567 papers were recognized, and 26 articles were selected in this review.
Conclusion: there are very types of machine learning for the use of AI in organic chemistry for
predicting and designing new chemical molecules that can be proper treatment approaches in curing
disease, also this study evaluates some machine learning methods that are the best for designing drugs
for patients, but the researcher’s in all of the world belong the little of their time to research about
applied AI in organic chemistry and for more evaluate accuracy, specificity, and sensitivity ofreagents
chemical in the recent century, with notice scarce accessible to drug discovery chemist scientists in the
worldshould more research about this aim in future years that can be drug consumption is very
feasible for individual with different disorders