Center for the Study of Systems Biology

  • Home
  • About us
    • Members
  • Skolnick Research Group
    • Jeffrey Skolnick
    • Maximilian Brogi
    • Brendon Cara
    • Chad Choudhry
    • Brice Edelman
    • Jonathan Feldman
    • Jessica Gilmore Forness
    • Bartosz Ilkowski
    • Preetam Jukalkar
    • Giselle McPhilliamy
    • Asha Mira Rao
    • Hargobind Singh
    • Kyle Xu
    • Hongyi Zhou
    • Former Group Members
  • Publications
    • Publications
    • Preprints
  • Software and Services
    • Services
      • DESTINI
      • DR. PRODIS
      • ENTPRISE
      • ENTPRISE-X
      • FINDSITEcomb
      • FINDSITEcomb2.0
      • FRAGSITE
      • FRAGSITE2
      • FRAGSITEcombM
      • Know-GENE
      • LeMeDISCO
      • MEDICASCY
      • MOATAI-VIR
      • PHEVIR
      • PICMOA
    • Downloads
      • AF2Complex
      • AF3Complex
      • APoc
      • Cavitator
      • DBD-Hunter
      • DBD-Threader
      • EFICAz2.5
      • Fr-TM-align
      • GOAP
      • iAlign
      • IS-score
      • LIGSIFT
      • MENDELSEEK
      • PULCHRA
      • SAdLSA
      • Valsci
    • Databases
      • Apo and Holo Pairs
      • New Human GPCR Modeling and Virtual Screening
      • PDB-like Structures
    • Simulations
      • E. coli Intracellular Dynamics
  • News & Events
    • News
    • ARCHIVE: Distinguished Lecture Series in Systems Biology
  • Jobs

ENTPRISE

ENTPRISE is an algorithm for predicting human disease-associated amino acid mutations from sequence entropy and predicted protein structures

This server will fast retrieve pre-computed mutation scores (average exome coverage is 90%, score >0.45 is disease-associated).

Notice: This server is freely available to all academic and non-commercial users.
Commercial users – to use this server, or request a download of all pre-computed scores, please send an email to Dr. Jeffrey Skolnick: skolnick@gatech.edu.

Citation: Zhou, H, Gao M, Skolnick J. 2016. ENTPRISE: An Algorithm for Predicting Human Disease-Associated Amino Acid Substitutions from Sequence Entropy and Predicted Protein Structures. PLOS ONE. 11(3):e0150965. PDF

Search ENTPRISE

Benchmarking Results:
Comparison of methods on a balanced data set PredictSNP-filter
Download ENTPRISE benchmark result on PredictSNP-filter set
Download ENTPRISE benchmark result on 1k-Genome set
Download ENTPRISE benchmark result on VariSNP set

Training & test datasets: 
Download ENTPRISE-TR benchmarking training set
Download ENTPRISE-TR benchmarking training set with duplicated samples
Download ENTPRISE-TE benchmarking test set
Download ENTPRISE-balance benchmarking test set (a subset of ENTPRISE-TE)
Download protein sequences for ENTPRISE dataset
Download 1k-Genome test set
Download protein sequences for 1k-Genome test set

Predictions for proteins of human transcription machinery: 
Download “hot” spot predictions

Please send questions to Dr. Hongyi Zhou:  hzhou3@gatech.edu.

 

  • Skolnick Research Group
    • Jeffrey Skolnick
    • Maximilian Brogi
    • Brendon Cara
    • Chad Choudhry
    • Brice Edelman
    • Jonathan Feldman
    • Jessica Gilmore Forness
    • Bartosz Ilkowski
    • Preetam Jukalkar
    • Giselle McPhilliamy
    • Asha Mira Rao
    • Hargobind Singh
    • Kyle Xu
    • Hongyi Zhou
    • Former Group Members
  • Software and Services
    • Services
      • DESTINI
      • DR. PRODIS
      • ENTPRISE
      • ENTPRISE-X
      • FINDSITEcomb
      • FINDSITEcomb2.0
      • FRAGSITE
      • FRAGSITE2
      • FRAGSITEcombM
      • Know-GENE
      • LeMeDISCO
      • MEDICASCY
      • MOATAI-VIR
      • PHEVIR
      • PICMOA
    • Downloads
      • AF2Complex
      • AF3Complex
      • APoc
      • Cavitator
      • DBD-Hunter
      • DBD-Threader
      • EFICAz2.5
      • Fr-TM-align
      • GOAP
      • iAlign
      • IS-score
      • LIGSIFT
      • MENDELSEEK
      • PULCHRA
      • SAdLSA
      • Valsci
    • Databases
      • Apo and Holo Pairs
      • New Human GPCR Modeling and Virtual Screening
      • PDB-like Structures
    • Simulations
      • E. coli Intracellular Dynamics

Copyright © 2025 · Minimum Pro on Genesis Framework · WordPress · Log in