59:56

De novo design of miniprotein-based natural killer cell engagers

01:12:44

Massively parallel discovery of peptides to inhibit cellular protein interactions

01:14:04

Small But Mighty: What an LSTM Network Reveals About Protein Design and About Machine Learning

01:05:21

Jointly Embedding Protein Structures and Sequences through Residue Level Alignment

01:00:13

Discrete diffusion models for generative protein design

01:12:58

Review and discussion of AlphaFold3

01:21:22

Recent methods for protein structure generation and design

01:18:23

Designer proteins for stem cell engineering

46:39

Shedding light on functional dark matter with genomic language modeling

58:58

Computational Design of non-porous, pH-responsive antibody nanoparticles

01:26:30

Unsupervised early warning of viral antibody escape to design & test variant-proof therapeutics

01:28:45

Bridging Biophysics and AI to Optimize Protein Design

01:03:00

Learning transferable protein backmapping from conformational ensembles

01:36:23

DiffDock: Diffusion Steps, Twists and Turns for Molecular Docking and Beyond!

01:11:19

Computational design of autoinhibitory domains for a protease-activated PD-L1 antagonist

01:05:57

Exploring structural heterogeneity through cryoEM, cryoET, and deep learning

01:14:43

Investigating the volume &diversity of data needed for generalizable antibody-antigen ∆∆G prediction

01:16:42

Exploration of novel functional sequence space using evolution-informed design

59:18

Understanding & discovering fold-switching proteins by combining AlphaFold2 & sequence clustering

01:19:48

Fragment-based backbone sampling & neural net derived potentials to design protein-binding peptides

01:05:28

Building a global data supply chain to improve protein design and protect biodiversity

01:17:45

Expanding the Universe of Functional Proteins by Computational Design

01:30:36

Protein sequence design by explicit energy landscape optimization

01:18:23

Designing ligand-binding proteins from scratch

01:00:01

De novo design of mini-proteins to inhibit bacterial biofilm formation

01:03:00

Tertiary motifs as building blocks for the design of protein binding peptides

52:16

A computational approach to design structured peptides and predict peptide behavior in solution

27:16

Designing cKIT Receptor Inhibitors to Clear Hematopoietic Stem Cells Prior to Bone Marrow Transplant

01:17:30

Initial reaction to AlphaFold2 right after CASP14

01:01:04

The 7 Habits of Highly Successful Protein Therapeutics

01:02:51

Massively Parallel Protein Design to Develop Enzymes for Next-Generation Chemotherapy

01:18:03

New tools for studying the mechanics of single proteins

01:09:30

Why designs fail, and how they move

01:10:06

De novo Glycan Modeling and Design

43:15

A view of the structure-fitness landscape from an unsupervised vantage

51:20

Rational de novo design of disulfide-rich miniprotein agonists and antagonists for family B GPCRs

01:07:37

From large to small, protein design for stability and de novo interfaces

01:18:46

Therapeutic enzyme engineering using a generative neural network

58:51

Learning from natural antibodies for sequence generation and fast structure prediction

02:04:03

ColabDesign - Tutorial on using structure prediction methods for protein design

01:05:03

How local changes in secondary structure flexibility can drive protein function

01:12:12

Learning to design mini-proteins that bind to specific protein targets

01:33:06

Predicting protein structures from single sequences

01:46:09

ColabFold - Making protein folding accessible to all via Google Colab!