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Volumn 995, Issue 1-3, 2011, Pages 163-172

Prediction of protein 13Cα NMR chemical shifts using a combination scheme of statistical modeling and quantum-mechanical analysis

Author keywords

NMR chemical shift; Protein; Quantum mechanical calculation; Secondary structure

Indexed keywords

DESCRIPTORS; ELECTROSTATIC DESCRIPTORS; ENVIRONMENTAL INFLUENCES; HEURISTIC APPROACH; HIGH QUALITY; MACHINE LEARNING METHODS; MONOMERIC PROTEINS; NMR CHEMICAL SHIFTS; QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP; QUANTUM MECHANICAL; QUANTUM-MECHANICAL CALCULATION; SECONDARY STRUCTURE; SIDE-CHAINS; STATISTICAL MODELING; STATISTICAL MODELS; STRUCTURAL EFFECT; STRUCTURAL FEATURE; STRUCTURAL SURVEYS;

EID: 79957875622     PISSN: 00222860     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.molstruc.2011.04.012     Document Type: Article
Times cited : (10)

References (106)
  • 80
  • 92
    • 79957877793 scopus 로고    scopus 로고
    • Virtual Institute of Chemometrics and Industrial Metrology, Brussels, Belgium, Matlab code
    • ChemoAC Calibration Toolbox, Virtual Institute of Chemometrics and Industrial Metrology, Brussels, Belgium, Matlab code available: < http://www.vicim.com/My%20VICIM%20private%20webbestanden/chemoactbx.zip >.
    • ChemoAC Calibration Toolbox
  • 105
    • 79954501839 scopus 로고    scopus 로고
    • doi: 10.1002/cem.1320
    • K. Hébergera, K. Kollár-Hunek. J. Chemometrics, 2010, doi: 10.1002/cem.1320.
    • (2010) J. Chemometrics
    • K. Hébergera1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.