speaker: Nick Polizzi
location: Cannon Room, Building C, Harvard Medical School
title: Designing ligand-binding proteins from scratch
speaker: Bruno Correia
location: Room B101, Northwest Building, Harvard University
title: Expanding the Universe of Functional Proteins by Computational Design
speaker: Gabriele Corso, Hannes Stärk, Bowen Jing
location: Cannon Room, Building C, Harvard Medical School
title: DiffDock: Diffusion Steps, Twists and Turns for Molecular Docking and Beyond!
speaker: Hannah Wayment-Steele
location: Room B101, Northwest Building, Harvard University
title: Understanding and discovering fold-switching proteins by combining AlphaFold2 and sequence clustering
speaker: Philipp Lorenz
location: Cannon Room, Building C, Harvard Medical School
title: Building a global data supply chain to improve protein design and protect biodiversity
speaker: Sebastian Swanson
location: Room B101, Northwest Building, Harvard University
title: Fragment-based backbone sampling and neural network-derived scoring potentials for the design of protein-binding peptides
speaker: Nick Gauthier
location: Cannon Room, Building C, Harvard Medical School
title: Exploration of novel functional sequence space using evolution-informed design
speaker: Alissa Hummer
location: Cannon Room, Building C, Harvard Medical School
title: Investigating the volume and diversity of data needed for generalizable antibody-antigen ∆∆G prediction
speaker: Odessa Goudy
location: Room B101, Northwest Building, Harvard University
title: Computational design of autoinhibitory domains for a protease-activated PD-L1 antagonist
speaker: Joey Davis
location: Room B103, Northwest Building, Harvard University
title: Exploring structural heterogeneity through cryoEM, cryoET, and deep learning
speaker: Ava Amini
location: Cannon Room, Building C, Harvard Medical School
title: Bridging Biophysics and AI to Optimize Protein Design
speaker: Soojung Yang
location: Room B101, Northwest Building, Harvard University
title: Generating all-atom ensembles from C-alpha traces: Learning transferable protein backmapping from conformational ensembles