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Volumn 7, Issue 2, 2002, Pages 109-116

The emerging importance of predictive ADME simulation in drug discovery

Author keywords

[No Author keywords available]

Indexed keywords

CARRIER PROTEIN; CERIVASTATIN; HYPOCHOLESTEROLEMIC AGENT; DRUG;

EID: 0037082199     PISSN: 13596446     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1359-6446(01)02100-6     Document Type: Review
Times cited : (212)

References (16)
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    • Terfenadine-ketoconazole interaction. Pharmacokinetic and electrocardiographic consequences
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  • 7
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    • Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings
    • (1997) Adv. Drug. Deliv. Rev. , vol.23 , pp. 3-26
    • Lipinski, C.A.1
  • 8
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    • Preclinical drug metabolism in the age of high-throughput screening: An industrial perspective
    • (1997) Pharm. Res. , vol.14 , pp. 1504-1510
    • Rodrigues, A.D.1
  • 10
    • 0032671931 scopus 로고    scopus 로고
    • Unsupervised database clustering based on Daylight's fingerprint and Tanimoto similarity: A fast and automated way to cluster small and large data sets
    • (1999) J. Chem. Inf. Comput. Sci. , vol.39 , pp. 747-750
    • Butina, D.1
  • 11
    • 0015814461 scopus 로고
    • Strategy in drug design. Cluster analysis as an aid in the selection of substituents
    • (1973) J. Med. Chem. , vol.11 , pp. 1217-1222
    • Hansch, C.1
  • 15
    • 0030048695 scopus 로고    scopus 로고
    • Computer prediction of possible toxic action from chemical structure: An update on the DEREK system
    • (1996) Toxicology , vol.106 , pp. 267-279
    • Ridings, J.E.1
  • 16
    • 0033249915 scopus 로고    scopus 로고
    • Chemical diversity approach for evaluating mechanistic relatedness among toxicological phenomena
    • (1999) SAR QSAR Environ. Res. , vol.10 , pp. 533-543
    • Pollack, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.