The process of Drug Discovery (DD) is very time and resource consuming; to come up with a single compound you will go through an extremely long and complex journey; starting with understanding the disease, then identifying your drug target, and last but not least searching through potential natural and synthetic compounds for the desired activity profile; this process might take billions of dollars and over 10 years before starting clinical testing or the actual production . With the continuously evolving and advancing computational powers, many methods have been utilized and taken advantage of in the DD process; Artificial Intelligence (AI) and Deep Learning (DL) in particular have shown a profound impact in accelerating and advancing the DD process. Large Language Models (LLMs) are now becoming a great promise for researchers in the pharmaceutical industry, they are able to reduce the time, costs, and efforts required for DD .