The road to fully programmable protein catalysis

SL Lovelock, R Crawshaw, S Basler, C Levy, D Baker… - Nature, 2022 - nature.com
The ability to design efficient enzymes from scratch would have a profound effect on
chemistry, biotechnology and medicine. Rapid progress in protein engineering over the past …

[HTML][HTML] Structure-based protein design with deep learning

S Ovchinnikov, PS Huang - Current opinion in chemical biology, 2021 - Elsevier
Since the first revelation of proteins functioning as macromolecular machines through their
three dimensional structures, researchers have been intrigued by the marvelous ways the …

Antigen-specific antibody design and optimization with diffusion-based generative models for protein structures

S Luo, Y Su, X Peng, S Wang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Antibodies are immune system proteins that protect the host by binding to specific antigens
such as viruses and bacteria. The binding between antibodies and antigens is mainly …

Diffusion probabilistic modeling of protein backbones in 3d for the motif-scaffolding problem

BL Trippe, J Yim, D Tischer, D Baker… - arXiv preprint arXiv …, 2022 - arxiv.org
Construction of a scaffold structure that supports a desired motif, conferring protein function,
shows promise for the design of vaccines and enzymes. But a general solution to this motif …

De novo protein design by deep network hallucination

I Anishchenko, SJ Pellock, TM Chidyausiku… - Nature, 2021 - nature.com
There has been considerable recent progress in protein structure prediction using deep
neural networks to predict inter-residue distances from amino acid sequences,–. Here we …

[HTML][HTML] Game changers in science and technology-now and beyond

UAK Betz, L Arora, RA Assal, H Azevedo… - … Forecasting and Social …, 2023 - Elsevier
The recent devastating pandemic has drastically reminded humanity of the importance of
constant scientific and technological progress. A strong interdisciplinary dialogue between …

Iterative refinement graph neural network for antibody sequence-structure co-design

W Jin, J Wohlwend, R Barzilay, T Jaakkola - arXiv preprint arXiv …, 2021 - arxiv.org
Antibodies are versatile proteins that bind to pathogens like viruses and stimulate the
adaptive immune system. The specificity of antibody binding is determined by …

Deep learning techniques have significantly impacted protein structure prediction and protein design

R Pearce, Y Zhang - Current opinion in structural biology, 2021 - Elsevier
Highlights⿢The recent use of deep learning has dramatically improved the accuracy of non-
homologous protein structure modeling.⿢Protein structure prediction problem was largely …

Antibody-antigen docking and design via hierarchical structure refinement

W Jin, R Barzilay, T Jaakkola - International Conference on …, 2022 - proceedings.mlr.press
Computational antibody design seeks to automatically create an antibody that binds to an
antigen. The binding affinity is governed by the 3D binding interface where antibody …

Sparks of function by de novo protein design

AE Chu, T Lu, PS Huang - Nature biotechnology, 2024 - nature.com
Abstract Information in proteins flows from sequence to structure to function, with each step
causally driven by the preceding one. Protein design is founded on inverting this process …