Machine learning for functional protein design
Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and
structure data have radically transformed computational protein design. New methods …
structure data have radically transformed computational protein design. New methods …
Therapeutic antibodies in medicine
Antibody engineering has developed into a wide-reaching field, impacting a multitude of
industries, most notably healthcare and diagnostics. The seminal work on develo** the …
industries, most notably healthcare and diagnostics. The seminal work on develo** the …
Scientists' Perspectives on the Potential for Generative AI in their Fields
Generative AI models, including large language models and multimodal models that include
text and other media, are on the cusp of transforming many aspects of modern life, including …
text and other media, are on the cusp of transforming many aspects of modern life, including …
Large scale paired antibody language models
Antibodies are proteins produced by the immune system that can identify and neutralise a
wide variety of antigens with high specificity and affinity, and constitute the most successful …
wide variety of antigens with high specificity and affinity, and constitute the most successful …
ChatGPT, large language models, and generative AI as future augments of surgical cancer care
Released in November of 2022 as a public and free research preview, ChatGPT rapidly
brought OpenAI's work with autoregressive large language modeling based on Generative …
brought OpenAI's work with autoregressive large language modeling based on Generative …
Pretrainable geometric graph neural network for antibody affinity maturation
Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody
therapeutics development. This paper presents a pretrainable geometric graph neural …
therapeutics development. This paper presents a pretrainable geometric graph neural …
AI models for protein design are driving antibody engineering
Therapeutic antibody engineering seeks to identify antibody sequences with specific binding
to a target and optimized drug-like properties. When guided by deep learning, antibody …
to a target and optimized drug-like properties. When guided by deep learning, antibody …
[HTML][HTML] Atomically accurate de novo design of single-domain antibodies
Despite the central role that antibodies play in modern medicine, there is currently no way to
rationally design novel antibodies to bind a specific epitope on a target. Instead, antibody …
rationally design novel antibodies to bind a specific epitope on a target. Instead, antibody …
De Novo Antibody Design with SE(3) Diffusion
We introduce IgDiff, an antibody variable domain diffusion model based on a general protein
backbone diffusion framework, which was extended to handle multiple chains. Assessing …
backbone diffusion framework, which was extended to handle multiple chains. Assessing …
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
The adaptive immune system holds invaluable information on past and present immune
responses in the form of B and T cell receptor sequences, but we are limited in our ability to …
responses in the form of B and T cell receptor sequences, but we are limited in our ability to …