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Volumn 29, Issue 14, 2013, Pages 1817-1818

PconsD: Ultra rapid, accurate model quality assessment for protein structure prediction

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN;

EID: 84880222478     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt272     Document Type: Article
Times cited : (28)

References (11)
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  • 2
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  • 3
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    • Larsson, P.1
  • 4
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    • Pcons: A neural-network-based consensus predictor that improves fold recognition
    • Lundstrom, J. et al. (2001) Pcons: a neural-network-based consensus predictor that improves fold recognition. Protein Sci., 10, 2354-2362.
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    • Lundstrom, J.1
  • 5
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    • Rapid model quality assessment for protein structure predictions using the comparison of multiple models without structural alignments
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    • McGuffin, L.J.1    Roche, D.B.2
  • 6
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  • 7
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    • Clustering of low-energy conformations near the native structures of small proteins
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  • 8
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    • Prediction of global and local model quality in CASP7 using Pcons and ProQ
    • Wallner, B. and Elofsson, A. (2007) Prediction of global and local model quality in CASP7 using Pcons and ProQ. Proteins, 69 (Suppl. 8), 184-193.
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.