Foundation Models for AI-Enabled Biological Design

Moldwin, Asher, Shehu, Amarda

arXiv.org Artificial Intelligence 

Though this domain is evolving rapidly, this survey presents and discusses a taxonomy of current models and methods. The focus is on challenges and solutions in adapting these models for biological applications, including biological sequence modeling architectures, controllability in generation, and multi-modal integration. The survey concludes with a discussion of open problems and future directions, offering concrete next-steps to improve the quality of biological sequence generation.

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