
I am a researcher who is very interested in collaborating with other scientists around the world
Abstract 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 im- portant 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 of reagents chemical in the recent century, with notice scarce accessible to drug discovery chemist scientists in the world should more research about this aim in future years that can be drug consumption is very feasible for individual with differ- ent disorders. Keywords: Biochemistry; Biological Variation; Clinical Molecular Diagnostics; Pharmacokinetics
Abstract The broad application of proteomics in different biological and medical fields, as well as the diffusion of high-throughput plat…
I’m delighted to share that I’ve been appointed as the Lead Guest Editor for the upcoming Cureus Collection of Surgical Oncology. I warmly …