Understanding protein function is vital for biomedicine. Here, authors develop a method using statistics-informed graph networks to predict functions from sequences. The method integrates evolutionary couplings and residue communities to improve the accuracy of function annotations for proteins.
- Yaan J. Jang
- Qi-Qi Qin
- Benoît Kornmann
