Cover for Machine Learning in Organic Chemistry

Synthesis of organic molecules is one of the most essential tasks in organic chemistry. The standard methodology started by a chemist solving a problem centered on experience, heuristics, and rules of thumb. Generally, experimentalists often work backward, starting with the molecule desired design and then analyzing the retrosynthesis in which readily available reagents and sequences of reactions could be used to produce it. All this his process is time-consuming and source- consuming, it can result in non-optimized solutions or even failure in finding reaction pathways because of human errors. In this sense, AI/ML (Artificial Intelligence/Machine Learning) is gaining more and more attention in organic chemistry because it can speed up this process. In this mini-Review provided a guide map to review the digitalization and computerization of organic chemistry principles.