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Volumn 32, Issue 12, 2009, Pages 2159-2169

Modeling and prediction of retention behavior of histidine-containing peptides in immobilized metal-affinity chromatography

Author keywords

Gaussian process; Immobilized metal affinity chromatography; Peptide; Quantitative structure retention relationship

Indexed keywords

COVARIANCE FUNCTION; CROSS VALIDATION; DESCRIPTORS; GAUSSIAN PROCESS; HISTIDINE-CONTAINING PEPTIDE; HYDROGEN BONDINGS; IMMOBILIZED METAL-AFFINITY CHROMATOGRAPHY; IMMOBILIZED METALS; LEAST SQUARES SUPPORT VECTOR MACHINES; LOCAL DESCRIPTORS; MONTE CARLO; NONLINEAR APPROACH; NONLINEAR TERMS; PARTIAL LEAST SQUARES; PEPTIDE STRUCTURES; QUANTITATIVE STRUCTURE-RETENTION RELATIONSHIP; REGRESSION MODEL; RETENTION ABILITY; RETENTION BEHAVIOR; STRUCTURAL CHARACTERIZATION; VARIABLE SELECTION;

EID: 67649945500     PISSN: 16159306     EISSN: 16159314     Source Type: Journal    
DOI: 10.1002/jssc.200800739     Document Type: Article
Times cited : (18)

References (47)
  • 22
    • 67649928499 scopus 로고    scopus 로고
    • PhD thesis, University of Toronto
    • Rasmussen, C. E., PhD thesis, University of Toronto, 1996.
    • (1996)
    • Rasmussen, C.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.