Evaluating the absolute quality of a single protein model using structural features and support vector machines.

scientific article

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Evaluating the absolute quality of a single protein model using structural features and support vector machines. is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1002/PROT.22275
P698PubMed publication ID19004001
P5875ResearchGate publication ID23468444

P2093author name stringZheng Wang
Jianlin Cheng
Allison N Tegge
P2860cites workFree modeling with Rosetta in CASP6Q28274213
Prediction of CASP6 structures using automated Robetta protocolsQ28274221
Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functionsQ29616398
Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners.Q30331509
Automated prediction of CASP-5 structures using the Robetta server.Q30336233
Ranking predicted protein structures with support vector regression.Q30365830
Free energies of protein decoys provide insight into determinants of protein stabilityQ36640443
P433issue3
P407language of work or nameEnglishQ1860
P921main subjectsupport vector machineQ282453
P304page(s)638-647
P577publication date2009-05-01
P1433published inProteinsQ7251514
P1476titleEvaluating the absolute quality of a single protein model using structural features and support vector machines.
P478volume75

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cites work (P2860)
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