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If you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M...
Also consider joining the M2D2 Slack: https://join.slack.com/t/m2d2group/shared_invite/zt-16i9r9jir-ioE0TJVHEO~bAyZxu17neg
Abstract: Antibodies are versatile proteins that bind to pathogens like viruses and stimulate the adaptive immune system. The antibody binding affinity is determined by complementarity-determining regions (CDRs) at the tips of these Y-shaped proteins, which closely interact with antigen residues (epitopes). In this talk, I will present new generative models to automatically design the CDRs of antibodies with desired binding affinity. Specifically, our model seeks to co-design the sequence and 3D structure of CDRs as graphs. It unravels a sequence auto regressively while iteratively refining its predicted global 3D structure. Our model is evaluated on binder design tasks and shows superior performance compared to existing baselines.
Speaker: Wengong Jin - http://people.csail.mit.edu/wengong/
Twitter Prudencio: https://twitter.com/tossouprudencio
Twitter Therence: https://twitter.com/Therence_mtl
Twitter Cas: https://twitter.com/cas_wognum
Twitter Valence Discovery: https://twitter.com/valence_ai
By Valence DiscoveryIf you enjoyed this talk, consider joining the Molecular Modeling and Drug Discovery (M2D2) talks live: https://valence-discovery.github.io/M...
Also consider joining the M2D2 Slack: https://join.slack.com/t/m2d2group/shared_invite/zt-16i9r9jir-ioE0TJVHEO~bAyZxu17neg
Abstract: Antibodies are versatile proteins that bind to pathogens like viruses and stimulate the adaptive immune system. The antibody binding affinity is determined by complementarity-determining regions (CDRs) at the tips of these Y-shaped proteins, which closely interact with antigen residues (epitopes). In this talk, I will present new generative models to automatically design the CDRs of antibodies with desired binding affinity. Specifically, our model seeks to co-design the sequence and 3D structure of CDRs as graphs. It unravels a sequence auto regressively while iteratively refining its predicted global 3D structure. Our model is evaluated on binder design tasks and shows superior performance compared to existing baselines.
Speaker: Wengong Jin - http://people.csail.mit.edu/wengong/
Twitter Prudencio: https://twitter.com/tossouprudencio
Twitter Therence: https://twitter.com/Therence_mtl
Twitter Cas: https://twitter.com/cas_wognum
Twitter Valence Discovery: https://twitter.com/valence_ai