Explores predicting protein structure from sequence data and inferring interaction partners through Direct Coupling Analysis and the Iterative Pairing Algorithm.
Covers modeling and analyzing complex biological networks, focusing on metabolism and signaling, using techniques like flux balance analysis and kinetic modeling.
Explores deciphering protein interaction fingerprints using geometric deep learning and the challenges in computational protein-protein interaction design.
