ML for protein engineering seminar series

Ensemble-conditioned protein sequence design with Caliby

ML for protein engineering seminar series

De novo Design of All-atom Biomolecular Interactions with RFdiffusion3

ML for protein engineering seminar series

Efficient generation of epitope-targeted de novo antibodies with Germinal

ML for protein engineering seminar series

Accelerating Biomolecular Modeling with AtomWorks and RF3

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ProGen3 Scaling Unlocks Broader Generation and Deeper Functional Understanding of Proteins

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BoltzDesign & Protein Hunter Inverting Structure Prediction Models for Protein Design

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PoET-2 Understanding protein function with a multimodal retrieval-augmented foundation model

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Generative design of novel bacteriophages with genome language models

ML for protein engineering seminar series

The Dayhoff Atlas scaling sequence diversity for improved protein generation

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Early Career Seminar Series #8 Prof. Rohit Singh

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Early Career Seminar Series #7 Prof. Gabe Rocklin

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Scaling down and expanding the scope of protein language modeling with MSA Pairformer

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La-Proteina Atomistic Protein Generation via Partially Latent Flow Matching

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Early Career Seminar Series #6 Prof. Pranam Chatterjee

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Early Career Seminar Series #5 Prof. Possu Huang

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Early Career Seminar Series #4 Prof. Wengong Jin

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Functional alignment of protein language models via reinforcement learning

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Early Career Seminar Series #3 Prof. Brian Hie

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Flexible Antibody Design with Multimodal Bayesian Flow Networks

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Early Career Seminar Series #2 Prof. Noelia Ferruz

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Early Career Seminar Series #1 Prof. Mohammed AlQuraishi

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Deep learning guided design of protease substrates

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Atom level enzyme active site scaffolding using RFdiffusion2

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Computational design of serine hydrolases

ML for protein engineering seminar series

Learning millisecond protein dynamics from what is missing in NMR spectra

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MotifBench A standardized protein design benchmark for motif-scaffolding problems

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Genome modeling and design across all domains of life with Evo 2

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Targeting protein–ligand neosurfaces with a generalizable deep learning tool

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Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences

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ProtComposer Compositional Protein Structure Generation with 3D Ellipsoids

ML for protein engineering seminar series