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Volumn 22, Issue 4, 2003, Pages 422-429

Dimension related distance and its application in QSAR/QSPR model error estimation

Author keywords

Dimension related distance; Error estimation; Euclidean distance; Molecular similarity; QSPR

Indexed keywords

COMPUTATIONAL CHEMISTRY;

EID: 0038443423     PISSN: 1611020X     EISSN: None     Source Type: Journal    
DOI: 10.1002/qsar.200390032     Document Type: Article
Times cited : (17)

References (13)
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    • Hansch, C.1    Muir, R.M.2    Fujita, T.3    Maloney, P.P.4    Geiger, F.5    Streich, M.6
  • 2
    • 0036115689 scopus 로고    scopus 로고
    • Estimation of aqueous solubility of organic compounds with QSPR approach
    • H. Gao, V. Shanmugasundaram, P. Lee, Estimation of Aqueous Solubility of Organic Compounds with QSPR Approach, Pharm. Res. 19, 497-503 (2002).
    • (2002) Pharm. Res. , vol.19 , pp. 497-503
    • Gao, H.1    Shanmugasundaram, V.2    Lee, P.3
  • 3
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    • MOE software package from Chemical Computing Group Inc., http://www.chemcomp.com.
    • MOE Software Package
  • 4
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    • Assessment of n-octanol/water partition coefficient: When is the assessment reliable?
    • V. Gombar, K. Enslein, Assessment of n-Octanol/Water Partition Coefficient: When is the Assessment Reliable?, J. Chem. Inf. Comput. Sci. 36, 1127-1134 (1996).
    • (1996) J. Chem. Inf. Comput. Sci. , vol.36 , pp. 1127-1134
    • Gombar, V.1    Enslein, K.2
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    • note
    • -1 of training compounds.
  • 7
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    • Random or rational design? Evaluation of diverse compound subsets from chemical structure database
    • T. Potter, H. Matter, Random or Rational Design? Evaluation of Diverse Compound Subsets from Chemical Structure Database, J. Med. Chem. 41, 478-488 (1998); A. E. M. F. Soffers, M. G. Boersma, W. H. J. Vaes, J. Vervoort, B. Tyrakowska, J. L. M. Hermens, I. M. C. M. Rietjens, Computer-Modeling-Based QSARs for Analyzing Experimental Data on Biotransformation and Toxicity, Toxicol. in Vitro 15, 539-551 (2001); S. Balaz, V. Lukacova, Subcellular Pharmacokinetics and Its Potential for Library Focusing, J. Mol. Graph. Model. 20, 479-490 (2002).
    • (1998) J. Med. Chem. , vol.41 , pp. 478-488
    • Potter, T.1    Matter, H.2
  • 8
    • 0034819395 scopus 로고    scopus 로고
    • Computer-modeling-based QSARs for analyzing experimental data on biotransformation and toxicity
    • T. Potter, H. Matter, Random or Rational Design? Evaluation of Diverse Compound Subsets from Chemical Structure Database, J. Med. Chem. 41, 478-488 (1998); A. E. M. F. Soffers, M. G. Boersma, W. H. J. Vaes, J. Vervoort, B. Tyrakowska, J. L. M. Hermens, I. M. C. M. Rietjens, Computer-Modeling-Based QSARs for Analyzing Experimental Data on Biotransformation and Toxicity, Toxicol. in Vitro 15, 539-551 (2001); S. Balaz, V. Lukacova, Subcellular Pharmacokinetics and Its Potential for Library Focusing, J. Mol. Graph. Model. 20, 479-490 (2002).
    • (2001) Toxicol. In Vitro , vol.15 , pp. 539-551
    • Soffers, A.E.M.F.1    Boersma, M.G.2    Vaes, W.H.J.3    Vervoort, J.4    Tyrakowska, B.5    Hermens, J.L.M.6    Rietjens, I.M.C.M.7
  • 9
    • 0036010699 scopus 로고    scopus 로고
    • Subcellular pharmacokinetics and its potential for library focusing
    • T. Potter, H. Matter, Random or Rational Design? Evaluation of Diverse Compound Subsets from Chemical Structure Database, J. Med. Chem. 41, 478-488 (1998); A. E. M. F. Soffers, M. G. Boersma, W. H. J. Vaes, J. Vervoort, B. Tyrakowska, J. L. M. Hermens, I. M. C. M. Rietjens, Computer-Modeling-Based QSARs for Analyzing Experimental Data on Biotransformation and Toxicity, Toxicol. in Vitro 15, 539-551 (2001); S. Balaz, V. Lukacova, Subcellular Pharmacokinetics and Its Potential for Library Focusing, J. Mol. Graph. Model. 20, 479-490 (2002).
    • (2002) J. Mol. Graph. Model. , vol.20 , pp. 479-490
    • Balaz, S.1    Lukacova, V.2
  • 11
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    • P. R. Krishnaiah (Ed.), Academic Press, New York; PCA analyses were done with MOE and Cerius2 software packages from Accelrys
    • H. Wold, in: P. R. Krishnaiah (Ed.) Multivariate Analysis, Academic Press, New York 1966; PCA analyses were done with MOE and Cerius2 software packages from Accelrys, http://www.accelrys.com.
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  • 13
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    • note
    • i • Vi = 0. This can be reduced to the following equation set:


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.