Quantitative Structure–Activity Relationships (QSARs) – Applications and Methodology

Challenges and Advances in Computational Chemistry and Physics

Volumn 8, Issue , 2010, Pages 3-11

  Cronin, Mark T D ^a  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

In silico methods; QSAR; Resources for QSAR

Indexed keywords

EID: 85073163871     PISSN: 25424491     EISSN: 25424483     Source Type: Book Series    
DOI: 10.1007/978-1-4020-9783-6_1     Document Type: Chapter

References (4)

1. Topliss JG, Costello RJ (1972) Chance correlations in structure-activity studies using multiple regression analysis. J Med Chem 15:1066–1068.
2. Schultz TW, Netzeva TI, Cronin MTD (2003) Selection of data sets for QSARs: analyses of Tetrahymena toxicity from aromatic compounds. SAR QSAR Environ Res 14:59–81.
3. Selassie CD (2003) History of quantitative structure-activity relationships. In: Abraham DJ (ed) Burger’s Medicinal Chemistry and Drug Discovery, 6th edn., Volume 1: Drug Discovery. John Wiley and Sons, Inc., New York.
4. Hansch C, Maloney PP, Fujita T et al. (1962) Correlation of biological activity of phenoxyacetic acids with Hammett substituent constants and partition coefficients. Nature 194:178–180.