Deep Learning Applications to Protein Folding and Next Steps
6.S963 Final Paper 05/23/2023

Raina Thomas
Massachusetts Institute of Technology

From Conclusions:

Current deep learning methods for protein structure prediction have been an incredible achievement and transformed the field of structural biology. Continued research and innovation in the development of models that capture the physical and chemical properties underlying protein folding will further enhance their power and expand their applications in structural biology, drug design, and beyond.

Full Paper

Disclaimer

This paper was written for Alfred Spector’s MIT Spring 2023 course 6.S963 Beyond Models – Applying Data Science/AI Effectively. It has not been peer reviewed, and it may contain errors.