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01AI4Protein /EC_AlphaFold2 EC Dataset with AlphaFold2 Structural Sequence Description: The Enzyme Commission number (EC number) is a numerical classification scheme for enzymes, based on the chemical reactions they catalyze. Number of labels: 585 Problem Type: multi_label_classification Columns: aa_seq: protein amino acid sequence foldseek_seq: foldseek 20 3di structural sequence ss8_seq: DSSP 8 secondary structure sequence Github Simple, Efficient and Scalable Structure-aware Adapter… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/EC_AlphaFold2.texttext-classification10K<n<100K2 likes108 downloads8mo agoHugging Face02AI4Protein /MetalIonBinding_AlphaFold2 MetalIonBinding Dataset with AlphaFold2 Structural Sequence Description: Metal-binding proteins are proteins or protein domains that chelate a metal ion. Number of labels: 2 Problem Type: single_label_classification Columns: aa_seq: protein amino acid sequence foldseek_seq: foldseek 20 3di structural sequence ss8_seq: DSSP 8 secondary structure sequence ss3_seq: DSSP 3 secondary structure sequence esm3_structure_seq: ESM3 structure sequence encoded by VQ-VAE Github… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/MetalIonBinding_AlphaFold2.texttext-classification1K<n<10K0 likes103 downloads1y agoHugging Face03AI4Protein /Thermostability_AlphaFold2 Thermostability Dataset with AlphaFold2 Structural Sequence Description: In materials science and molecular biology, thermostability is the ability of a substance to resist irreversible change in its chemical or physical structure, often by resisting decomposition or polymerization, at a high relative temperature. Number of labels: 1 Problem Type: regression Columns: aa_seq: protein amino acid sequence foldseek_seq: foldseek 20 3di structural sequence ss8_seq: DSSP 8 secondary… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/Thermostability_AlphaFold2.tabulartext-classification1K<n<10K0 likes98 downloads1y agoHugging Face04AI4Protein /DeepLocBinary_AlphaFold2 DeepLocBinary Dataset with AlphaFold2 Structural Sequence Description: Protein localization encompasses the processes that establish and maintain proteins at specific locations. Number of labels: 2 Problem Type: single_label_classification Columns: aa_seq: protein amino acid sequence foldseek_seq: foldseek 20 3di structural sequence ss8_seq: DSSP 8 secondary structure sequence location: On the membrane or not Github Simple, Efficient and Scalable Structure-aware… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/DeepLocBinary_AlphaFold2.texttext-classification1K<n<10K0 likes91 downloads1y agoHugging Face05AI4Protein /GO_MF_AlphaFold2 GO-MF Dataset with AlphaFold2 Structural Sequence Description: Molecular Function of Gene Ontology (GO) project. Number of labels: 489 Problem Type: multi_label_classification Columns: aa_seq: protein amino acid sequence foldseek_seq: foldseek 20 3di structural sequence ss8_seq: DSSP 8 secondary structure sequence Github Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models https://github.com/tyang816/SES-Adapter VenusFactory: A Unified… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/GO_MF_AlphaFold2.texttext-classification10K<n<100K0 likes73 downloads1y agoHugging Face06AI4Protein /DeepLocMulti_AlphaFold2 DeepLocMulti Dataset with AlphaFold2 Structural Sequence Description: Protein localization encompasses the processes that establish and maintain proteins at specific locations. Number of labels: 10 Problem Type: single_label_classification Columns: aa_seq: protein amino acid sequence foldseek_seq: foldseek 20 3di structural sequence ss8_seq: DSSP 8 secondary structure sequence location: Specific location Github Simple, Efficient and Scalable Structure-aware… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/DeepLocMulti_AlphaFold2.texttext-classification10K<n<100K0 likes68 downloads1y agoHugging Face07AI4Protein /GO_BP_AlphaFold2 GO-BP Dataset with AlphaFold2 Structural Sequence Description: Biological Process of Gene Ontology (GO) project. Number of labels: 1943 Problem Type: multi_label_classification Columns: aa_seq: protein amino acid sequence foldseek_seq: foldseek 20 3di structural sequence ss8_seq: DSSP 8 secondary structure sequence Github Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models https://github.com/tyang816/SES-Adapter VenusFactory: A… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/GO_BP_AlphaFold2.texttext-classification10K<n<100K0 likes58 downloads1y agoHugging Face08AI4Protein /GO_CC_AlphaFold2 GO-CC Dataset with AlphaFold2 Structural Sequence Description: Cellular Component of Gene Ontology (GO) project. Number of labels: 320 Problem Type: multi_label_classification Columns: aa_seq: protein amino acid sequence foldseek_seq: foldseek 20 3di structural sequence ss8_seq: DSSP 8 secondary structure sequence Github Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models https://github.com/tyang816/SES-Adapter VenusFactory: A Unified… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/GO_CC_AlphaFold2.texttext-classification10K<n<100K0 likes50 downloads1y agoHugging Face09AI4Protein /eSOL_AlphaFold2 eSOL Dataset Description: Solubility is a fundamental protein property that has important connotations for therapeutics and use in diagnosis. Number of labels: 1 Problem Type: regression Columns: aa_seq: protein amino acid sequence gene: gene id Github VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning https://github.com/ai4protein/VenusFactory Citation Please cite our work if you use our dataset.… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/eSOL_AlphaFold2.tabulartext-classification1K<n<10K0 likes40 downloads1y agoHugging Face10ClarusC64 /alphafold-folding-trajectory-functional-stability-coherence-v0.1What this dataset tests Whether predicted folding trajectories remain predictive of functional stability under stress conditions. Structure alone is not enough. The path to structure must stay coherent with real-world stability. When that relationship breaks therapeutic proteins fail in storage manufacturing or use. Required outputs trajectory_coherence_score stability_divergence_flag degradation_horizon_hours critical_structure_region stabilization_strategy Use case Antibody engineering… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-folding-trajectory-functional-stability-coherence-v0.1.tabulartabular-regressionn<1K0 likes31 downloads8mo agoHugging Face11AI4Protein /SortingSignal_AlphaFold2 SortingSignal Dataset Description: Protein sorting signal prediction. Number of labels: 9 Problem Type: multi_label_classification Columns: aa_seq: protein amino acid sequence Github VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning https://github.com/ai4protein/VenusFactory Citation Please cite our work if you use our dataset. @article{tan2025venusfactory, title={VenusFactory: A Unified Platform for… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/SortingSignal_AlphaFold2.texttext-classification1K<n<10K0 likes29 downloads1y agoHugging Face12AI4Protein /DeepLoc2Multi_AlphaFold2 DeepLoc2Multi_AlphaFold2 Dataset Description: Protein localization encompasses the processes that establish and maintain proteins at specific locations. Number of labels: 2 Problem Type: single_label_classification Columns: aa_seq: protein amino acid sequence detail: meta information Github VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning https://github.com/ai4protein/VenusFactory Citation Please cite… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/DeepLoc2Multi_AlphaFold2.texttext-classification10K<n<100K0 likes29 downloads1y agoHugging Face13ClarusC64 /alphafold_misinterpretation_classifier_v01AlphaFold Misinterpretation Classifier (AMC) v0.1 Purpose Help models spot when AlphaFold outputs are used to make claims that go beyond their scope. Teach restraint. Promote correct boundaries around structural interpretation. Columns claim misinterpretation_type reason_hint action misinterpretation_type examples function_from_structure: assuming activity from fold binding_assertion: assuming ligand interaction metric_confusion: misreading confidence or aligned error state_fixation:… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold_misinterpretation_classifier_v01.textn<1K0 likes24 downloads9mo agoHugging Face14ClarusC64 /alphafold_misinterpretation_classifier_v0.2AlphaFold Misinterpretation Classifier PurposeDetect common ways people overclaim from AlphaFold outputs. Input fields protein_context alphafold_signals proposed_inference Required outputReturn one JSON object misinterpretationyes or no error_typemust match allowed list correctionone sentence Allowed error_type values no_error low_confidence_region_overtrust interdomain_orientation_overclaim disorder_as_structure loop_position_overtrust complex_negation_from_monomer… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold_misinterpretation_classifier_v0.2.texttext-classificationn<1K0 likes23 downloads8mo agoHugging Face15ClarusC64 /alphafold-interface-coherence-baseline-mapping-v0.1 What this dataset tests Whether a model can constructa stable baseline mapof protein–protein interface coherence. This is the intact coupling state.No stress applied.No mutation applied. The target is the interface basin. Inputs interface_residue_countcontact_densitybaseline_deltaG_bindbaseline_kd_nMcontact_stability_scorehotspot_integrity_scoreallosteric_cross_interface_score Required outputs interface_coherence_scoresignal_pathsbaseline_failure_margin… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-interface-coherence-baseline-mapping-v0.1.tabulartabular-regressionn<1K0 likes21 downloads8mo agoHugging Face16ClarusC64 /alphafold-structure-function-environment-decoupling-v0.1Purpose Detect when predicted structure no longer predicts real function under environmental stress. Core problem Proteins can appear stable in structure predictions yet lose activity in real conditions. This dataset finds the early decoupling phase. Inputs structure confidence active-site shift temperature pH solvent exposure binding trend aggregation signal Outputs coherence score decoupling flag collapse horizon critical region intervention Evaluation Binary accuracy for decoupling… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-structure-function-environment-decoupling-v0.1.tabulartabular-classificationn<1K0 likes18 downloads8mo agoHugging Face17AI4Protein /DeepET_Topt_AlphaFold2 DeepET_Topt Dataset Description: protein optimum temperature. Number of labels: 1 Problem Type: regression Columns: aa_seq: protein amino acid sequence ss8_seq: DSSP 8 secondary structure sequence foldseek_seq: foldseek 20 3di structural sequence ss3_seq: DSSP 3 secondary structure sequence Github VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning https://github.com/ai4protein/VenusFactory Citation Please… See the full description on the dataset page: https://huggingface.co/datasets/AI4Protein/DeepET_Topt_AlphaFold2.tabulartext-classification1K<n<10K0 likes16 downloads1y agoHugging Face18ClarusC64 /alphafold-allosteric-signal-transmission-coherence-mapping-v0.1 What this dataset tests Whether an intelligence system can detect whendynamic motion in one protein regioncoherently transmits to the active siteor when that communication collapses. The dataset treats proteins as communication networks.Signal from region A must reach the active sitewith measurable gain and stability. Loss of transmission predictsallosteric drug failureand resistance emergence. Required outputs transmission_coherence_score active_site_response_gain… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-allosteric-signal-transmission-coherence-mapping-v0.1.tabulartabular-classificationn<1K0 likes14 downloads8mo agoHugging Face19ClarusC64 /alphafold-interface-decoherence-under-stress-detection-v0.1 What this dataset tests Whether a model can detectstress-induced interface decoherencebefore full dissociation. Stress modes covered pH shiftheat stressoxidative stress The failure mode Contact maps stop predicting bindingand cross-interface signal transmission weakens. Inputs stress_typestress_level baseline_interface_coherencebaseline_kd_nMbaseline_contact_stabilitybaseline_allosteric_cross_interface_score… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-interface-decoherence-under-stress-detection-v0.1.tabulartabular-classificationn<1K0 likes14 downloads8mo agoHugging Face20ClarusC64 /alphafold-allosteric-network-fracture-detection-v0.1 Goal Detect when a mutationfractures the allosteric communication networklinking distal regions to the active site. Proteins function throughlong-range signal transmission.A mutation can break that signalwithout altering the binding site itself. This dataset trains systems to detectnetwork fracture beforefunctional collapse appears. Required outputs fracture_flag fracture_horizon_steps critical_path_loss network_resilience_index allosteric_gain_change… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-allosteric-network-fracture-detection-v0.1.tabulartabular-classificationn<1K0 likes11 downloads8mo agoHugging Face21ClarusC64 /alphafold-conformation-interaction-coherence-decay-v0.1Goal Detect when predicted conformation no longer supports real binding interaction. Why it matters Proteins often keep structure but lose interaction reliability. Drug discovery fails here. Design pipelines miss this drift. Inputs conformation state interface shift environment conditions binding trend Outputs coherence score decoupling flag collapse horizon critical interface intervention Evaluation Flag accuracy for decoupling detection MAE for coherence score Combined final score in… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/alphafold-conformation-interaction-coherence-decay-v0.1.tabulartabular-classificationn<1K0 likes9 downloads8mo agoHugging Face22AI4Protein /VenusVaccine_BacteriaBinary_AlphaFold2text1K<n<10K0 likes6 downloads1y agoHugging Face23AI4Protein /VenusVaccine_TumorBinary_AlphaFold2textn<1K0 likes6 downloads1y agoHugging Face24AI4Protein /VenusVaccine_VirusBinary_AlphaFold2text1K<n<10K0 likes3 downloads1y agoHugging Face

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