Every dataset and model used in the Protify paper: benchmark datasets, pretrained protein language models and pH probes.
AI & ML interests
protein design, protein annotation, drug delivery, lung development, cellular self-assembly, maternal-fetal health
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models 55
GleghornLab/CAMP_red
0.7B • Updated • 10
GleghornLab/production_ss9_model
Token Classification • 0.6B • Updated • 25
GleghornLab/production_ss4_model
Token Classification • 0.6B • Updated • 26
GleghornLab/DSM_150_ppi_control
0.2B • Updated • 38
GleghornLab/DSM_650_ppi_lora
0.7B • Updated • 33
GleghornLab/DSM_150_ppi_lora
0.2B • Updated • 19
GleghornLab/DSM_650
0.7B • Updated • 381
GleghornLab/DSM_150
0.1B • Updated • 25
GleghornLab/Alginate-Microparticle-20xMeasurement-Model
Updated
GleghornLab/optimal_ph_rigor_DPLM2-3B_2026-04-27-19-40_RTHS
Text Classification • 5.45M • Updated • 7
datasets 139
GleghornLab/esmc_tap_probing_results
Updated • 423
GleghornLab/vec2vec_embeddings
Updated • 87
GleghornLab/plat_data
Viewer • Updated • 67.4k • 84
GleghornLab/protein_concept_probing
Viewer • Updated • 172k • 310
GleghornLab/lymph_node_6-1-22_reconstruction
Updated • 9
GleghornLab/CCSB-AI-Interactome
Viewer • Updated • 33.8k • 28
GleghornLab/optimal_ph_rigor
Viewer • Updated • 8.88k • 16
GleghornLab/optimal_ph
Viewer • Updated • 9.86k • 35
GleghornLab/OmniPath_2class-30v2
Viewer • Updated • 71.8k • 27
GleghornLab/bom_dpi
Viewer • Updated • 2.34M • 11