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
AlphaFold2 for protein structure prediction: Best practices and critical analyses—0
A Model-Centric Review of Deep Learning for Protein Design—0
AmoebaContact and GDFold: a new pipeline for rapid prediction of protein structures—0
An Automated Global Method for Extraction of Distance Distributions from Electron Spin Resonance Pulsed Dipolar Signals—0
A new hybrid genetic algorithm for protein structure prediction on the 2D triangular lattice—0
An Investigation in Optimal Encoding of Protein Primary Sequence for Structure Prediction by Artificial Neural Networks—0
Applications of Knot Theory for the Improvement of the AlphaFold Protein Database—0
A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration—0
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models—0
A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design—0
AutoLoop: a novel autoregressive deep learning method for protein loop prediction with high accuracy—0
Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction—0
Benchmarking AlphaFold3's protein-protein complex accuracy and machine learning prediction reliability for binding free energy changes upon mutation—0
Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps—0
Capturing the geometry, function, and evolution of enzymes with 3D templates—0
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios—0
Cognitio Emergens: Agency, Dimensions, and Dynamics in Human-AI Knowledge Co-Creation—0
Computational Protein Science in the Era of Large Language Models (LLMs)—0
Conditional Neural Fields—0
Convergence of Continuous Normalizing Flows for Learning Probability Distributions—0
cryoSPHERE: Single-particle heterogeneous reconstruction from cryo EM—0
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction—0
CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention—0
Data Resources for Structural Bioinformatics—0
Decoy Selection for Protein Structure Prediction Via Extreme Gradient Boosting and Ranking—0
DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins—0
Deep Learning applications for COVID-19—0
Deep Learning for Computational Chemistry—0
Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook—0
DeepQA: Improving the estimation of single protein model quality with deep belief networks—0
Deep Reinforcement Learning for Modelling Protein Complexes—0
Real-value and confidence prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning—0
Recent advances in interpretable machine learning using structure-based protein representations—0
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion—0
Seq-SetNet: Exploring Sequence Sets for Inferring Structures—0
SGNet: Folding Symmetrical Protein Complex with Deep Learning—0
Simultaneous identification of specifically interacting paralogs and inter-protein contacts by Direct-Coupling Analysis—0
Sparse, guided feature connections in an Abstract Deep Network—0
Structural Property Prediction—0
Structure Alignment—0
Structure determination—0
Technical Report of HelixFold3 for Biomolecular Structure Prediction—0
tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement—0
The curious case of A31P, a topology-switching mutant of the Repressor of Primer protein : A molecular dynamics study of its folding and misfolding—0
The prospects of quantum computing in computational molecular biology—0
Thermodynamics of Protein Folding—0
TOPO: Improving remote homologue recognition via identifying common protein structure framework—0
Transformers in Protein: A Survey—0
Understanding Biology in the Age of Artificial Intelligence—0
Unfolding AlphaFold's Bayesian Roots in Probability Kinematics—0
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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