Citation Impact
Citing Papers
Potent CRISPR-Cas9 inhibitors from Staphylococcus genomes
2020 StandoutNobel
An enumerative algorithm for de novo design of proteins with diverse pocket structures
2020 StandoutNobel
Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs
2022 StandoutNobel
Exploiting conformational dynamics to modulate the function of designed proteins
2023 StandoutNobel
Improved protein structure prediction using predicted interresidue orientations
2020 StandoutNobel
Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention
2021 StandoutNobel
Hallucinating symmetric protein assemblies
2022 StandoutScienceNobel
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN
2024 StandoutNobel
Protein oligomer modeling guided by predicted interchain contacts in CASP14
2021 StandoutNobel
Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14
2021 StandoutNobel
Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13
2019
Computational Stabilization of a Non‐Heme Iron Enzyme Enables Efficient Evolution of New Function
2024 StandoutNobel
Analysis of distance‐based protein structure prediction by deep learning in CASP13
2019
DLIGAND2: an improved knowledge-based energy function for protein–ligand interactions using the distance-scaled, finite, ideal-gas reference state
2019
Computational design of soluble and functional membrane protein analogues
2024 StandoutNatureNobel
Structure-based protein design with deep learning
2021
RNA secondary structure prediction using deep learning with thermodynamic integration
2021
Crop yield prediction using machine learning: A systematic literature review
2020 Standout
De novo design of immunoglobulin-like domains
2022 StandoutNobel
Artificial intelligence in healthcare: transforming the practice of medicine
2021 Standout
AI in health and medicine
2022 Standout
A Completely Reimplemented MPI Bioinformatics Toolkit with a New HHpred Server at its Core
2017 Standout
The road to fully programmable protein catalysis
2022 StandoutNatureNobel
Modeling aspects of the language of life through transfer-learning protein sequences
2019
Structurally Mapping Endogenous Heme in the CcmCDE Membrane Complex for Cytochrome c Biogenesis
2018 StandoutNobel
The trRosetta server for fast and accurate protein structure prediction
2021 StandoutNobel
Improved protein structure refinement guided by deep learning based accuracy estimation
2021 StandoutNobel
Fast and Flexible Protein Design Using Deep Graph Neural Networks
2020
Improved protein structure prediction using potentials from deep learning
2020 StandoutNatureNobel
Deep learning enables the atomic structure determination of the Fanconi Anemia core complex from cryoEM
2020 StandoutNobel
De novo design of a non-local β-sheet protein with high stability and accuracy
2018 StandoutNobel
The DBSAV Database: Predicting Deleteriousness of Single Amino Acid Variations in the Human Proteome
2021
Interpreting neural networks for biological sequences by learning stochastic masks
2022 StandoutNobel
End-to-end design of wearable sensors
2022 Standout
Protein sequence design with a learned potential
2022
Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA
2023 StandoutNobel
De novo protein design by deep network hallucination
2021 StandoutNatureNobel
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
A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level
2019
AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings
2021 Standout
Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM
2020 Standout
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)
2019 StandoutNobel
Short‐term power load forecasting based on multi‐layer bidirectional recurrent neural network
2019
20 years of Electronic Commerce Research
2021 Standout
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning
2021
Analysis of several key factors influencing deep learning-based inter-residue contact prediction
2019
Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce
2020
Evolutionary-scale prediction of atomic-level protein structure with a language model
2023 StandoutScience
Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study
2024 Standout
Machine learning-based approach: global trends, research directions, and regulatory standpoints
2021 Standout
Discovery of Novel Gain-of-Function Mutations Guided by Structure-Based Deep Learning
2020
Advancing Biosensors with Machine Learning
2020
Ensemble deep learning in bioinformatics
2020
Template‐based modeling by ClusPro in CASP13 and the potential for using co‐evolutionary information in docking
2019 StandoutNobel
Protein Design with Deep Learning
2021
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023 StandoutScienceNobel
Deep Learning for Intelligent Human–Computer Interaction
2022 Standout
Protein contact prediction using metagenome sequence data and residual neural networks
2019 StandoutNobel
Works of Jack Hanson being referenced
RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
2019
Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
2016
Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks
2016
SPIN2: Predicting sequence profiles from protein structures using deep neural networks
2018
Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble Learning
2018
Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks
2018