3 papers
q-bio.BM2026
ConforNets: Latents-Based Conformational Control in OpenFold3
Minji Lee, Colin Kalicki, Minkyu Jeon +3
Models from the AlphaFold (AF) family reliably predict one dominant conformation for most well-ordered proteins but struggle to capture biologically relevant alternate states. Seve…
cs.LG2024
Recent advances in interpretable machine learning using structure-based protein representations
Luiz Felipe Vecchietti, Minji Lee, Begench Hangeldiyev +5
Recent advancements in machine learning (ML) are transforming the field of structural biology. For example, AlphaFold, a groundbreaking neural network for protein structure predict…
cs.LG2024
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space
Minji Lee, Luiz Felipe Vecchietti, Hyunkyu Jung +3
Proteins are complex molecules responsible for different functions in nature. Enhancing the functionality of proteins and cellular fitness can significantly impact various industri…