SOTAVerified

Protein Structure Prediction

Papers

Showing 125 of 188 papers

TitleStatusHype
Galactica: A Large Language Model for ScienceCode4
OpenProteinSet: Training data for structural biology at scaleCode4
Robust deep learning based protein sequence design using ProteinMPNNCode3
Highly accurate protein structure prediction with AlphaFoldCode3
PyMOLfold: Interactive Protein and Ligand Structure Prediction in PyMOLCode2
MotifBench: A standardized protein design benchmark for motif-scaffolding problemsCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Protein structure generation via folding diffusionCode2
Training on test proteins improves fitness, structure, and function predictionCode2
SE(3) diffusion model with application to protein backbone generationCode2
MegaFold: System-Level Optimizations for Accelerating Protein Structure Prediction ModelsCode2
Protein Large Language Models: A Comprehensive SurveyCode2
State-specific protein-ligand complex structure prediction with a multi-scale deep generative modelCode2
FastFold: Reducing AlphaFold Training Time from 11 Days to 67 HoursCode2
ProteinBERT: a universal deep-learning model of protein sequence and functionCode2
ExplainableFold: Understanding AlphaFold Prediction with Explainable AICode1
Geometry-Complete Perceptron Networks for 3D Molecular GraphsCode1
Energy-based models for atomic-resolution protein conformationsCode1
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment GenerationCode1
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA DesignCode1
Highly accurate and efficient deep learning paradigm for full-atom protein loop modeling with KarmaLoopCode1
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
Accurate Protein Structure Prediction by Embeddings and Deep Learning RepresentationsCode1
EigenFold: Generative Protein Structure Prediction with Diffusion ModelsCode1
Accurate and efficient protein embedding using multi-teacher distillation learningCode1
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Benchmark Results

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