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Volumn 48, Issue 11, 2009, Pages 1995-1997

Pattern-based recognition of heparin contaminants by an array of self-assembling fluorescent receptors

Author keywords

Fluorescence; Heparin; Molecular recognition; Receptors; Self assembly

Indexed keywords

ANTI-COAGULANT DRUGS; BINDING MOTIFS; CHARGED CONTAMINANTS; HEPARIN; HOST-GUEST INTERACTIONS; HYDROPHOBIC GUESTS; MODULAR APPROACHES; RECEPTORS; SELF-ASSEMBLING;

EID: 61849101764     PISSN: 14337851     EISSN: None     Source Type: Journal    
DOI: 10.1002/anie.200805238     Document Type: Article
Times cited : (67)

References (32)
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    • See the Supporting Information for details
    • See the Supporting Information for details.
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    • SYSTAT, version 12.0, Systat Software Inc, Richmond, CA, USA
    • SYSTAT, version 12.0, Systat Software Inc., Richmond, CA, USA.
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    • One measurement at a time was treated as an unknown, and the remainder were used as the training set
    • One measurement at a time was treated as an unknown, and the remainder were used as the training set.
  • 32
    • 61849093585 scopus 로고    scopus 로고
    • The predictive ability of the receptor array was determined by a cross-validation routine, in which 50% of the dataset was taken out randomly and used as a training set for the LDA, and the omitted remainder was reclassified.
    • The predictive ability of the receptor array was determined by a cross-validation routine, in which 50% of the dataset was taken out randomly and used as a training set for the LDA, and the omitted remainder was reclassified.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.