Foundation models in biological and chemical domains

With hundreds of large biological and chemical models being developed, it seems the field has achieved a lot. However, as the review pointed out, this area is still in its nascent stage. The authors highlight a few challenges, such as the lack of large-scale and high-quality training data, integration of domain-specific information into the model architecture, and reliable computational and experimental evaluation. The lack of high-quality data is probably the most critical issue. After all, <a href="https://www.nature.com/articles/d41586-024-00306-2" rel="noopener ugc nofollow" target="_blank">your results are only as good as your data</a>. By the way, the review unfortunately missed one important data type: RNA sequences (or transcriptomic data). Many RNA foundation models can be found in this <a href="https://github.com/ml4bio/RNA-FM" rel="noopener ugc nofollow" target="_blank">RNA-FM</a> GitHub repository. These models could be very useful for understanding gene functions, identifying drug targets, predicting RNA structures and RNA-protein interactions, and designing RNA-based therapeutics. <a href="https://encodebox.medium.com/foundation-models-in-biological-and-chemical-domains-40643aa79c50">Visit Now</a>