SOTAVerified

Protein Structure Prediction

Papers

Showing 51100 of 188 papers

TitleStatusHype
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking0
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models0
Evaluation of Protein Structural Models Using Random Forests0
Exploring zero-shot structure-based protein fitness prediction0
FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures0
FFF: Fragments-Guided Flexible Fitting for Building Complete Protein Structures0
Finding optimal finite biological sequences over finite alphabets: the OptiFin toolbox0
FoldExplorer: Fast and Accurate Protein Structure Search with Sequence-Enhanced Graph Embedding0
Folding and Stabilization of Native-Sequence-Reversed Proteins0
FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model0
From sequence to protein structure and conformational dynamics with AI/ML0
Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network0
Function Prediction0
GreMuTRRR: A Novel Genetic Algorithm to Solve Distance Geometry Problem for Protein Structures0
Guided macro-mutation in a graded energy based genetic algorithm for protein structure prediction0
HelixFold-Multimer: Elevating Protein Complex Structure Prediction to New Heights0
HMACA: Towards Proposing a Cellular Automata Based Tool for Protein Coding, Promoter Region Identification and Protein Structure Prediction0
Improving protein threading accuracy via combining local and global potential using TreeCRF model0
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters0
Introduction to Protein Folding0
Introduction to Protein Structure0
Leveraging Deep Generative Model For Computational Protein Design And Optimization0
Leveraging Sequence Purification for Accurate Prediction of Multiple Conformational States with AlphaFold20
LightNobel: Improving Sequence Length Limitation in Protein Structure Prediction Model via Adaptive Activation Quantization0
Linker-Tuning: Optimizing Continuous Prompts for Heterodimeric Protein Prediction0
Liquid-theory analogy of direct-coupling analysis of multiple-sequence alignment and its implications for protein structure prediction0
Mass spectrometry for semi-experimental protein structure determination and modeling0
Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction0
Molecular Dynamics0
Monte Carlo for Protein Structures0
MultiMed: Massively Multimodal and Multitask Medical Understanding0
NMRPy: a novel NMR scripting system to implement artificial intelligence and advanced applications0
Non-Canonical Crosslinks Confound Evolutionary Protein Structure Models0
Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches0
On How AI Needs to Change to Advance the Science of Drug Discovery0
On the performance of deep learning for numerical optimization: an application to protein structure prediction0
What is an equivariant neural network?0
3D RNA and functional interactions from evolutionary couplings0
AlphaFolding: 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance0
6DCNN with roto-translational convolution filters for volumetric data processing0
A Comprehensive Review of Generative AI in Healthcare0
Advanced Deep Learning Methods for Protein Structure Prediction and Design0
Advances of Deep Learning in Protein Science: A Comprehensive Survey0
A Hybrid Local Search for Simplified Protein Structure Prediction0
A Hybrid Monte Carlo Ant Colony Optimization Approach for Protein Structure Prediction in the HP Model0
AI-guided Antibiotic Discovery Pipeline from Target Selection to Compound Identification0
AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities0
AIS-INMACA: A Novel Integrated MACA Based Clonal Classifier for Protein Coding and Promoter Region Prediction0
Aligning Protein Conformation Ensemble Generation with Physical Feedback0
AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning0
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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