How To Design Enzymes Using Generative Machine Learning Models

How to design enzymes using generative machine learning models

Therapeutic enzyme engineering using a generative neural network

Boston Protein Design and Modeling Club

All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics

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RFDiffusion: Accurate protein design using structure prediction and diffusion generative models

ML for protein engineering seminar series

FT005 - Improving a Stubborn Enzyme with AI and Data

Ginkgo Bioworks

Engineering highly active and diverse nuclease enzymes by ML and high-throughput screening

ML for protein engineering seminar series

Ginkgo Enzyme Intelligence - Virtual Event

Ginkgo Bioworks

Enzyme discovery and engineering at foundry scale with Emily Wrenbeck at #GinkgoFerment 2023

Ginkgo Bioworks

Generative Modeling Applications

Generative AI for Molecular Design & Synthesis

Massachusetts Institute of Technology (MIT)

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MLCB 2024: Ava Amini (MIT) Bridging biophysics & AI for generative protein design

Machine Learning in Computational Biology

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

UChicago Data Science Institute

Dynamic-backbone protein-ligand complex structure prediction with generative diffusion models

ML for protein engineering seminar series

SYNB1 - Methods in Computational Protein Design

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Scholar Strategy by Nistha Tripathi

Biocatalysed Synthesis Planning using Data-driven Learning

Jennifer Listgarten: Machine Learning-based Design of Proteins, Small Molecules, and Beyond

C3 Digital Transformation Institute

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Nicholas Renotte

Computational Enzyme Design

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