Literature DB >> 30019206

How medicinal chemists learned about log P.

Yvonne Connolly Martin1.   

Abstract

Although log P is now recognized to be a key factor that determines the bioactivity of a molecule, the focus of medicinal chemists on hydrophobicity and log P started with the quantitative structure-activity relationships (QSAR) publications of Hansch and Fujita. Their original publication represents a dramatic change of focus to incorporate consideration of log P after a decade of work unsuccessfully attempting to use the Hammett equation to explain the structure-activity relationships of plant growth regulators. QSAR allows one to explore the quantitative relationship between log P and biological activity even when other factors also influence potency. In particular, Hansch's publications of thousands of QSAR equations demonstrate that a relationship of biological activity with log P is indeed a general phenomenon. Hansch's group also provided data and tools that enable others to explore the relationship between log P and the biological activity of compounds of interest.

Keywords:  Collander; Fujita; Hansch; Hydrophobicity; Log P; Meyer; Overton; QSAR; Quantitative structure–activity relationships

Mesh:

Substances:

Year:  2018        PMID: 30019206     DOI: 10.1007/s10822-018-0127-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  48 in total

1.  The controversy over structure activity relationships in the early twentieth century.

Authors:  J Parascandola
Journal:  Pharm Hist       Date:  1974

2.  Molecular structure of nucleic acids; a structure for deoxyribose nucleic acid.

Authors:  J D WATSON; F H CRICK
Journal:  Nature       Date:  1953-04-25       Impact factor: 49.962

3.  GROWTH REGULATION BY ORGANIC COMPOUNDS.

Authors:  R M Muir; C H Hansch; A H Gallup
Journal:  Plant Physiol       Date:  1949-07       Impact factor: 8.340

4.  On outliers and activity cliffs--why QSAR often disappoints.

Authors:  Gerald M Maggiora
Journal:  J Chem Inf Model       Date:  2006 Jul-Aug       Impact factor: 4.956

5.  Outliers in SAR and QSAR: is unusual binding mode a possible source of outliers?

Authors:  Ki Hwan Kim
Journal:  J Comput Aided Mol Des       Date:  2007-03-03       Impact factor: 3.686

6.  On the structure of medicinal chemistry.

Authors:  C Hansch
Journal:  J Med Chem       Date:  1976-01       Impact factor: 7.446

7.  Physiochemical drug properties associated with in vivo toxicological outcomes.

Authors:  Jason D Hughes; Julian Blagg; David A Price; Simon Bailey; Gary A Decrescenzo; Rajesh V Devraj; Edmund Ellsworth; Yvette M Fobian; Michael E Gibbs; Richard W Gilles; Nigel Greene; Enoch Huang; Teresa Krieger-Burke; Jens Loesel; Travis Wager; Larry Whiteley; Yao Zhang
Journal:  Bioorg Med Chem Lett       Date:  2008-07-24       Impact factor: 2.823

Review 8.  How not to develop a quantitative structure-activity or structure-property relationship (QSAR/QSPR).

Authors:  J C Dearden; M T D Cronin; K L E Kaiser
Journal:  SAR QSAR Environ Res       Date:  2009       Impact factor: 3.000

Review 9.  Linear relationships between lipophilic character and biological activity of drugs.

Authors:  C Hansch; W J Dunn
Journal:  J Pharm Sci       Date:  1972-01       Impact factor: 3.534

10.  The correlation of localization rates of benzeneboronic acids in brain and tumor tissue with substituent constants.

Authors:  C Hansch; A R Steward; J Iwasa
Journal:  Mol Pharmacol       Date:  1965-07       Impact factor: 4.436

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  1 in total

1.  A phenotype-directed chemical screen identifies ponalrestat as an inhibitor of the plant flavin monooxygenase YUCCA in auxin biosynthesis.

Authors:  Ying Zhu; Hong-Jiang Li; Qi Su; Jing Wen; Yuefan Wang; Wen Song; Yinpeng Xie; Wenrong He; Zhen Yang; Kai Jiang; Hongwei Guo
Journal:  J Biol Chem       Date:  2019-11-15       Impact factor: 5.157

  1 in total

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