Lead optimization in drug discovery is a challenging process that heavily relies on hypotheses and the experience of medicinal chemists. This often leads to uncertain outcomes and inefficiency. Furthermore, the process is time-consuming and requires significant resources. Therefore, the introduction of artificial intelligence (AI) predictive tools to accelerate this process would be highly valuable in the field of drug discovery.
Click here for original story, New tool developed to efficiently predict relative ligand binding affinity in drug discovery
Source: Phys.org