Citation Impact
Citing Papers
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs
2022 StandoutNobel
Conditional generative modeling for de novo protein design with hierarchical functions
2022
Exploiting conformational dynamics to modulate the function of designed proteins
2023 StandoutNobel
Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention
2021 StandoutNobel
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN
2024 StandoutNobel
Protein language-model embeddings for fast, accurate, and alignment-free protein structure prediction
2022
Generative Pretraining From Pixels
2020
Generative models for graph-based protein design
2019
Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14
2021 StandoutNobel
Computational Stabilization of a Non‐Heme Iron Enzyme Enables Efficient Evolution of New Function
2024 StandoutNobel
Zero‐shot mutation effect prediction on protein stability and function using RoseTTAFold
2023 StandoutNobel
ProtGPT2 is a deep unsupervised language model for protein design
2022
Hierarchical design of pseudosymmetric protein nanocages
2024 StandoutNatureNobel
Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle
2023 StandoutNobel
Fast and accurate protein structure search with Foldseek
2023 Standout
Discovery of archaeal fusexins homologous to eukaryotic HAP2/GCS1 gamete fusion proteins
2022 StandoutNobel
Machine learning for functional protein design
2024
2023 Standout
Multistate and functional protein design using RoseTTAFold sequence space diffusion
2024 StandoutNobel
Learning the protein language: Evolution, structure, and function
2021
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Single-sequence protein structure prediction using a language model and deep learning
2022
Machine learning in protein structure prediction
2021
Informed training set design enables efficient machine learning-assisted directed protein evolution
2021 Nobel
Modeling aspects of the language of life through transfer-learning protein sequences
2019
Large language models in medicine
2023 Standout
Protein design and variant prediction using autoregressive generative models
2021
Differentiable biology: using deep learning for biophysics-based and data-driven modeling of molecular mechanisms
2021
De novo design of buttressed loops for sculpting protein functions
2024 StandoutNobel
Generating functional protein variants with variational autoencoders
2021
De novo protein design by deep network hallucination
2021 StandoutNatureNobel
Large language models generate functional protein sequences across diverse families
2023
Efficient evolution of human antibodies from general protein language models
2023
Glycoproteomics
2022 StandoutNobel
Improving Protein Expression, Stability, and Function with ProteinMPNN
2024 StandoutNobel
SignalP 6.0 predicts all five types of signal peptides using protein language models
2022 Standout
Controllable protein design with language models
2022
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
2021 Standout
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
2024 Nobel
Evolutionary-scale prediction of atomic-level protein structure with a language model
2023 StandoutScience
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
2023 Standout
Attention mechanisms in computer vision: A survey
2022 Standout
Protein Design with Deep Learning
2021
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
High-Resolution Image Synthesis with Latent Diffusion Models
2022 Standout
Works of Jerry Ma being referenced
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
2021