Assessment of CASP11 contact-assisted predictions

Proteins. 2016 Sep;84 Suppl 1(Suppl 1):164-80. doi: 10.1002/prot.25020. Epub 2016 Mar 9.


We present an overview of contact-assisted predictions in the eleventh round of critical assessment of protein structure prediction (CASP11), which included four categories: predicted contacts (Tp), correct contacts (Tc), simulated sparse NMR contacts (Ts), and cross-linking contacts (Tx). Comparison of assisted to unassisted model quality highlighted a relatively poor overall performance in CASP11 using predicted Tp and crosslinked Tx contact information. However, average model quality significantly improved in the correct Tc and simulated NMR Ts categories for most targets, where maximum improvement of unassisted models reached an impressive 70 GDT_TS. Comparison of the performance in the correct Tc category to CASP10 suggested the improvement in CASP11 model quality originated from an increased number of provided contacts per target. Group rankings based on a combination of scores used in the CASP11 free modeling (FM) assessment for each category highlight four top-performing groups, with three from the Lee lab and one from the Baker lab. We used the overall performance of these groups in each category to develop hypotheses for their relative outperformance in the correct Tc and simulated NMR Ts categories, which stemmed from the fraction of correct contacts provided (correct Tc category) and a reduced fraction of correct contacts offset by an increased coverage of the correct contacts (simulated NMR Ts category). Proteins 2016; 84(Suppl 1):164-180. © 2016 Wiley Periodicals, Inc.

Keywords: CASP11; contact-assisted; protein structure prediction.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computational Biology / methods
  • Computational Biology / statistics & numerical data*
  • Computer Simulation
  • Cross-Linking Reagents / chemistry*
  • Databases, Protein
  • International Cooperation
  • Internet
  • Models, Molecular*
  • Models, Statistical*
  • Protein Folding
  • Protein Interaction Domains and Motifs
  • Protein Structure, Secondary
  • Proteins / chemistry*
  • Software*


  • Cross-Linking Reagents
  • Proteins