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 51–75 of 188 papers

TitleStatusHype
PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural modelsCode0
LightNobel: Improving Sequence Length Limitation in Protein Structure Prediction Model via Adaptive Activation Quantization—0
Cognitio Emergens: Agency, Dimensions, and Dynamics in Human-AI Knowledge Co-Creation—0
AutoLoop: a novel autoregressive deep learning method for protein loop prediction with high accuracy—0
Exploring zero-shot structure-based protein fitness prediction—0
From sequence to protein structure and conformational dynamics with AI/ML—0
AI-guided Antibiotic Discovery Pipeline from Target Selection to Compound Identification—0
PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks—0
Advanced Deep Learning Methods for Protein Structure Prediction and Design—0
Non-Canonical Crosslinks Confound Evolutionary Protein Structure Models—0
Leveraging Sequence Purification for Accurate Prediction of Multiple Conformational States with AlphaFold2—0
A Model-Centric Review of Deep Learning for Protein Design—0
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios—0
Human Genome Book: Words, Sentences and ParagraphsCode0
Computational Protein Science in the Era of Large Language Models (LLMs)—0
A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design—0
Protein Structure Prediction in the 3D HP Model Using Deep Reinforcement Learning—0
Applications of Knot Theory for the Improvement of the AlphaFold Protein Database—0
Ratio law: mathematical descriptions for a universal relationship between AI performance and input samples—0
Beyond Current Boundaries: Integrating Deep Learning and AlphaFold for Enhanced Protein Structure Prediction from Low-Resolution Cryo-EM Maps—0
CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin EvaluationCode0
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction—0
pLDDT-Predictor: High-speed Protein Screening Using Transformer and ESM2Code0
Recent advances in interpretable machine learning using structure-based protein representations—0
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction—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