Center for the Study of Systems Biology

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GOAP

GOAP is a generalized orientation-dependent, all-atom statistical potential for protein structure prediction. It was benchmarked against other state-the-art similar potentials and was shown to be significantly better for discriminating native structures from decoys.

Reference: H. Zhou and J. Skolnick: GOAP: A generalized orientation-dependent, all-atom statistical potential for protein structure prediction, Biophysical Journal, 101(8):2043-2052, 2011 PDF

This software is freely available to ALL users.

GOAP linux_64 executable including source code for prediction

Click here to download (41M .zip file, use unzip to unpack).

 

  • Skolnick Research Group
    • Jeffrey Skolnick
    • Courtney Astore
    • Hongnan “Conan” Cao
    • Mu Gao
    • Jessica Gilmore Forness
    • Bartosz Ilkowski
    • Hongyi Zhou
    • Former Group Members
  • Software and Services
    • Services
      • DESTINI
      • DR. PRODIS
      • ENTPRISE
      • ENTPRISE-X
      • FINDSITEcomb
      • FINDSITEcomb2.0
      • Know-GENE
      • MEDICASCY
    • Downloads
      • APoc
      • Cavitator
      • DBD-Hunter
      • DBD-Threader
      • EFICAz2.5
      • Fr-TM-align
      • GOAP
      • iAlign
      • IS-score
      • LIGSIFT
      • PULCHRA
      • SAdLSA
    • Databases
      • Apo and Holo Pairs
      • New Human GPCR Modeling and Virtual Screening
      • PDB-like Structures
    • Simulations
      • E. coli Intracellular Dynamics

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