Learning Protein Fitness Models from Evolutionary and Experimental Data

Efficient Evolution of Human Antibodies From General Protein Language Models and Sequence Info AloneПодробнее

“Disease variant prediction with deep generative models of evolutionary data” Frazer & DiasПодробнее

Machine Learning-Based Design Of ProteinsПодробнее

MIA: Mafalda Dias & Jonathan Frazer, interpreting gene variants; Jung-Eun (June) Shin, Ab librariesПодробнее

Andrew W. Ferguson, "Machine learning-guided directed evolution of functional proteins"Подробнее

Kipoi Seminar - Mafalda Dias & Jonathan Frazer (Harvard Medical School)Подробнее

Machine Learning-Assisted Protein Engineering with ftMLDE and evSeqПодробнее

Dr. Kevin Yang -- Multimodal Machine Learning for Protein EngineeringПодробнее

IAIFI Colloquium Series: Data driven ML models that predict protein function from sequenceПодробнее

Rapid protein evolution by few-shot learning with a protein language modelПодробнее

Experimental Evolution: 50,000 Generations in the Life of E. coliПодробнее

Machine-Learning Assisted Directed Evolution - Viviana Gradinaru - 10/25/2019Подробнее

Phyloseminar #56: Jesse Bloom (Fred Hutchinson)Подробнее

Jose Onuchic, 19.4.21- Protein Sequence EvolutionПодробнее

Modeling Proteins: From Sequences to Structure and Fitness- Remi MonassonПодробнее

Science of COVID-19: Evolutionary Potential of the SARS-CoV-2 Receptor Binding Domain (RBD)Подробнее

Debswapna Bhattacharya - Learning to Score and Refine Protein 3D ModelsПодробнее

Unexpected Interface: Proteins and Evolutionary ChangeПодробнее

Unit 1 3 3 Protein Evolution and ModelsПодробнее

Τristan Bepler - Learning from Evolution to Design New ProteinsПодробнее