SOTAVerified

Protein Structure Prediction

Image credit: FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 188 papers

TitleStatusHype
Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle ApproachCode0
Protein Language Models and Structure Prediction: Connection and ProgressionCode1
Applying Deep Reinforcement Learning to the HP Model for Protein Structure PredictionCode0
Galactica: A Large Language Model for ScienceCode4
An Efficient MCMC Approach to Energy Function Optimization in Protein Structure PredictionCode0
Geometry-Complete Perceptron Networks for 3D Molecular GraphsCode1
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking—0
State-specific protein-ligand complex structure prediction with a multi-scale deep generative modelCode2
A Graph Neural Network Approach to Automated Model Building in Cryo-EM MapsCode1
Protein structure generation via folding diffusionCode2
Secondary Protein Structure Prediction Using Neural NetworksCode0
Unsupervisedly Prompting AlphaFold2 for Few-Shot Learning of Accurate Folding Landscape and Protein Structure PredictionCode0
HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an AlternativeCode0
HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddleCode0
PSP: Million-level Protein Sequence Dataset for Protein Structure PredictionCode0
Direct Generation of Protein Conformational Ensembles via Machine Learning—0
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence UnderstandingCode1
Robust deep learning based protein sequence design using ProteinMPNNCode3
What is an equivariant neural network?—0
MAS2HP: A Multi Agent System to Predict Protein Structure in 2D HP modelCode0
Generative De Novo Protein Design with Global ContextCode1
Capturing the geometry, function, and evolution of enzymes with 3D templates—0
FastFold: Reducing AlphaFold Training Time from 11 Days to 67 HoursCode2
Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches—0
ProteinBERT: a universal deep-learning model of protein sequence and functionCode2
Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer—0
Structure determination—0
6DCNN with roto-translational convolution filters for volumetric data processing—0
Highly accurate protein structure prediction with AlphaFoldCode3
An Automated Global Method for Extraction of Distance Distributions from Electron Spin Resonance Pulsed Dipolar Signals—0
Protein sequence-to-structure learning: Is this the end(-to-end revolution)?—0
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models—0
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement—0
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network—0
"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?—0
NMRPy: a novel NMR scripting system to implement artificial intelligence and advanced applications—0
Iterative SE(3)-TransformersCode1
Deep Learning applications for COVID-19—0
Distribution-Free, Risk-Controlling Prediction SetsCode2
On the performance of deep learning for numerical optimization: an application to protein structure prediction—0
DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins—0
SidechainNet: An All-Atom Protein Structure Dataset for Machine LearningCode1
Decoy Selection for Protein Structure Prediction Via Extreme Gradient Boosting and Ranking—0
An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks—0
The prospects of quantum computing in computational molecular biology—0
Energy-based models for atomic-resolution protein conformationsCode1
Generating Tertiary Protein Structures via an Interpretative Variational AutoencoderCode0
Mass spectrometry for semi-experimental protein structure determination and modeling—0
PolyFold: an interactive visual simulator for distance-based protein foldingCode1
Predicting the real-valued distances between residue pairs for proteins—0
Show:102550
← PrevPage 3 of 4Next →
All datasetsCASPSeqCASPSimSeqPaenSeqUniProtSeq

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GAL 125MValidation perplexity20.62—Unverified
2GAL 1.3BValidation perplexity17.58—Unverified
3GAL 6.7BValidation perplexity17.29—Unverified
4GAL 30BValidation perplexity17.27—Unverified
5GAL 120BValidation perplexity17.26—Unverified
#ModelMetricClaimedVerifiedStatus
1GAL 125MValidation perplexity19.18—Unverified
2GAL 1.3BValidation perplexity17.04—Unverified
3GAL 6.7BValidation perplexity16.35—Unverified
4GAL 30BValidation perplexity15.42—Unverified
5GAL 120BValidation perplexity12.77—Unverified
#ModelMetricClaimedVerifiedStatus
1GAL 125MValidation perplexity16.35—Unverified
2GAL 1.3BValidation perplexity12.53—Unverified
3GAL 6.7BValidation perplexity7.76—Unverified
4GAL 30BValidation perplexity4.28—Unverified
5GAL 120BValidation perplexity3.14—Unverified
#ModelMetricClaimedVerifiedStatus
1GAL 125MValidation perplexity19.05—Unverified
2GAL 1.3BValidation perplexity15.82—Unverified
3GAL 6.7BValidation perplexity11.58—Unverified
4GAL 30BValidation perplexity8.23—Unverified
5GAL 120BValidation perplexity5.54—Unverified