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Volumn 1107, Issue , 2013, Pages 21-28

VEGA-QSAR: AI inside a platform for predictive toxicology

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Indexed keywords


EID: 84908689140     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (138)

References (11)
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    • Gini G., Katritzky A. (Eds.) (1999) Predictive Toxicology of Chemicals: Experiences and Impact of Artificial Intelligence Tools. AAAI Spring Symposium on Predictive Toxicology, AAAI Press, Menlo Park, California.
    • (1999) AAAI Spring Symposium On Predictive Toxicology
    • Gini, G.1    Katritzky, A.2
  • 2
    • 84882776376 scopus 로고    scopus 로고
    • Validation of the models. In quantitative structure-activity relationships (QSAR) for pesticide regulatory purposes
    • Benfenati E., Crètien J.R., Gini G., Piclin N., Pintore M., Roncaglioni A. (2007) Validation of the models. In Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes, Elsevier, 185-200.
    • (2007) Elsevier , pp. 185-200
    • Benfenati, E.1    Crètien, J.R.2    Gini, G.3    Piclin, N.4    Pintore, M.5    Roncaglioni, A.6
  • 3
    • 80053480992 scopus 로고    scopus 로고
    • The acceptance of in silico models for REACH: Requirements, barriers, and perspectives
    • Benfenati E. et al. (2011) The acceptance of in silico models for REACH: Requirements, barriers, and perspectives. Chemistry Central Journal, Vol 5:58, 1-11.
    • (2011) Chemistry Central Journal , vol.5 , Issue.58 , pp. 1-11
    • Benfenati, E.1
  • 4
    • 0023965741 scopus 로고
    • SMILES a chemical language and information system. 1. Introduction to methodology and encoding rules
    • Weininger D. (1988) SMILES a chemical language and information system. 1. Introduction to methodology and encoding rules. J. Chemical Information and Computer Science 28, 31-36.
    • (1988) J. Chemical Information And Computer Science , vol.28 , pp. 31-36
    • Weininger, D.1
  • 5
    • 77955435614 scopus 로고    scopus 로고
    • Assessment and validation of the CAESAR predictive model for bioconcentration factor (BCF) in fish
    • Jul 29
    • Lombardo A., Roncaglioni A., Boriani E., Milan C., Benfenati E. (2010) Assessment and validation of the CAESAR predictive model for bioconcentration factor (BCF) in fish. Chemistry Central Journal, Jul 29; 4 Suppl 1:S1.
    • (2010) Chemistry Central Journal , vol.4 , pp. S1
    • Lombardo, A.1    Roncaglioni, A.2    Boriani, E.3    Milan, C.4    Benfenati, E.5
  • 6
    • 84892637074 scopus 로고    scopus 로고
    • Automatic knowledge extraction from chemical structures: The case of mutagenicity prediction
    • Gini G. et al. (2013) Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction. SAR and QSAR in Environmental Research, Vol 24, N 5, 365-383.
    • (2013) SAR And QSAR In Environmental Research , vol.24 , Issue.5 , pp. 365-383
    • Gini, G.1
  • 7
    • 84908693009 scopus 로고    scopus 로고
    • Toxtree (2012) software download: http://sourceforge.net/projects/toxtree/
    • (2012) Software Download
  • 9
    • 84876972436 scopus 로고    scopus 로고
    • Integration of QSAR models for bioconcentration suitable for REACH
    • Gissi A. et al. (2013) Integration of QSAR models for bioconcentration suitable for REACH. Science of the Total Environment 456-457, 325-332.
    • (2013) Science Of The Total Environment , vol.456-457 , pp. 325-332
    • Gissi, A.1
  • 10
    • 84930664887 scopus 로고    scopus 로고
    • How far chemistry and toxicology are computational science?
    • Amigoni and Schiaffonati (eds) Springer, 15-33
    • Gini G. (2013) How Far Chemistry and Toxicology Are Computational Science?. in Amigoni and Schiaffonati (eds): Methods and experimental techniques in computer engineering. Springer, 15-33, ISBN 978-3-319-00272-9.
    • (2013) Methods And Experimental Techniques In Computer Engineering
    • Gini, G.1
  • 11
    • 84877276803 scopus 로고    scopus 로고
    • Using toxicological evidence from QSAR models in practice
    • Benfenati E. et al. (2013) Using toxicological evidence from QSAR models in practice. Altex, Vol. 30, 19-40.
    • (2013) Altex , vol.30 , pp. 19-40
    • Benfenati, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.