Standout Papers
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
Image and data mining in reticular chemistry powered by GPT-4V
2024 StandoutNobel
Sculpting conducting nanopore size and shape through de novo protein design
2024 StandoutScienceNobel
Generative Pretraining From Pixels
2020
Generative models for graph-based protein design
2019
Evaluation of AlphaFold-Multimer prediction on multi-chain protein complexes
2023
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
CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models
2023
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
De novo protein design—From new structures to programmable functions
2024
Target-conditioned diffusion generates potent TNFR superfamily antagonists and agonists
2024 StandoutScienceNobel
Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme
2024
Computational design of soluble and functional membrane protein analogues
2024 StandoutNatureNobel
De novo design of allosterically switchable protein assemblies
2024 StandoutNatureNobel
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
Protein interactions in human pathogens revealed through deep learning
2024 StandoutNobel
Multistate and functional protein design using RoseTTAFold sequence space diffusion
2024 StandoutNobel
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Machine learning in protein structure prediction
2021
Informed training set design enables efficient machine learning-assisted directed protein evolution
2021 Nobel
Large language models in medicine
2023 Standout
Protein Design Using Structure-Prediction Networks: AlphaFold and RoseTTAFold as Protein Structure Foundation Models
2024
ProGen2: Exploring the boundaries of protein language models
2023
The future of chemistry is language
2023
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
Autonomous chemical research with large language models
2023 Nature
De novo design of buttressed loops for sculpting protein functions
2024 StandoutNobel
Generating functional protein variants with variational autoencoders
2021
Sparks of function by de novo protein design
2024
Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering
2024
De novo protein design by deep network hallucination
2021 StandoutNatureNobel
Large language models generate functional protein sequences across diverse families
2023
A GPT‐4 Reticular Chemist for Guiding MOF Discovery**
2023 StandoutNobel
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
Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models
2023 StandoutNobel
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
2024 Nobel
ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
2023 Standout
Validation of de novo designed water‐soluble and transmembrane β‐barrels by in silico folding and melting
2024
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 Zeming Lin being referenced
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
2021
Evolutionary-scale prediction of atomic-level protein structure with a language model
2023 StandoutScience