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OPUS-CSF: A C-atom-based Scoring Function for Ranking Protein Structural Models
- Source :
- Protein Science : A Publication of the Protein Society
- Publication Year :
- 2017
- Publisher :
- Cold Spring Harbor Laboratory, 2017.
-
Abstract
- SummaryWe report a C-atom-based scoring function, named OPUS-CSF, for ranking protein structural models. Rather than using traditional Boltzmann formula, we built a scoring function (CSF score) based on the native distributions (analyzed through entire PDB) of coordinate components of mainchain C atoms on selected residues of peptide segments of 5, 7, 9, and 11 residues in length. In testing OPUS-CSF on decoy recognition, it maximally recognized 257 native structures out of 278 targets in 11 commonly used decoy sets, significantly more than other popular all-atom empirical potentials. The average correlation coefficient with TM-score was also comparable with those of other potentials. OPUS-CSF is a highly coarse-grained scoring function, which only requires input of partial mainchain information, and very fast. Thus it is suitable for applications at early stage of structural building.
- Subjects :
- Models, Molecular
Correlation coefficient
Protein Data Bank (RCSB PDB)
010402 general chemistry
Bioinformatics
01 natural sciences
protein structure modeling
Ranking (information retrieval)
03 medical and health sciences
protein folding
scoring function
Boltzmann's entropy formula
Databases, Protein
030304 developmental biology
Mathematics
0303 health sciences
Tools for Protein Science
business.industry
decoy recognition
Proteins
Pattern recognition
Function (mathematics)
coarseāgraining
0104 chemical sciences
Artificial intelligence
business
Decoy
Software
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Protein Science : A Publication of the Protein Society
- Accession number :
- edsair.doi.dedup.....a191c4068044d2a4f7b918c14d353d82
- Full Text :
- https://doi.org/10.1101/163972