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February 2nd 2022
February 2nd 2022
speaker: Sergey Ovchinnikov
title: Tutorial on using structure prediction methods for protein design
abstract: For this tutorial, I'll discuss the pros/cons of inverting structure prediction models for protein design. I'll walkthrough recent colab notebooks for designing proteins with TrRosetta and/or AlphaFold.
March 2nd 2022
March 2nd 2022
speaker: Jeff Ruffolo
title: Learning from natural antibodies for sequence generation and fast structure prediction
abstract: Billions of natural antibody sequences have been identified through immune repertoire sequencing studies. Using this data, we developed a novel infilling language model for antibody sequence generation and targeted diversification. Pairing this data with structural information, we trained an end-to-end model for antibody structure prediction, which enables accurate structural modeling at scale.
April 13th 2022
April 13th 2022
speakers: Nasos Dousis and Andrew Giessel
title: Therapeutic enzyme engineering using a generative neural network
abstract: We present a novel, broadly applicable engineering method that combines deep latent variable modelling of sequence co-evolution with automated protein library design and construction to rapidly identify metabolic enzyme variants that are both more thermally stable and more catalytically active. We apply this approach to improve the potency of ornithine transcarbamylase (OTC), a urea cycle enzyme for which loss of catalytic activity causes a rare but serious metabolic disease.
May 11th 2022
May 11th 2022
speaker: Eva-Maria Strauch
title: From large to small, protein design for stability and de novo interfaces
abstract: I will talk about how we are stabilizing viral surface proteins, developed new small proteins of different folds and diverse shapes and turning them into de novo binding proteins. For the latter we develop deep learning algorithms for backbone and sequence design.
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