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Benefits of statistical molecular design, covariance analysis, and reference models in QSAR : a case study on acetylcholinesterase

Andersson, C. David (author)
Umeå universitet,Kemiska institutionen
Hillgren, J. Mikael (author)
Umeå universitet,Kemiska institutionen,Department of Chemistry and Molecular Biology - Medicinal Chemistry, University of Gothenburg
Lindgren, Cecilia (author)
Umeå universitet,Kemiska institutionen
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Qian, Weixing (author)
Umeå universitet,Kemiska institutionen,Laboratories for Chemical Biology Umeå, Umeå University
Akfur, Christine (author)
Berg, Lotta (author)
Umeå universitet,Kemiska institutionen
Ekström, Fredrik (author)
Linusson, Anna (author)
Umeå universitet,Kemiska institutionen
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 (creator_code:org_t)
2014-10-29
2015
English.
In: Journal of Computer-Aided Molecular Design. - : Springer Science and Business Media LLC. - 0920-654X .- 1573-4951. ; 29:3, s. 199-215
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Scientific disciplines such as medicinal- and environmental chemistry, pharmacology, and toxicology deal with the questions related to the effects small organic compounds exhort on biological targets and the compounds' physicochemical properties responsible for these effects. A common strategy in this endeavor is to establish structure-activity relationships (SARs). The aim of this work was to illustrate benefits of performing a statistical molecular design (SMD) and proper statistical analysis of the molecules' properties before SAR and quantitative structure-activity relationship (QSAR) analysis. Our SMD followed by synthesis yielded a set of inhibitors of the enzyme acetylcholinesterase (AChE) that had very few inherent dependencies between the substructures in the molecules. If such dependencies exist, they cause severe errors in SAR interpretation and predictions by QSAR-models, and leave a set of molecules less suitable for future decision-making. In our study, SAR- and QSAR models could show which molecular sub-structures and physicochemical features that were advantageous for the AChE inhibition. Finally, the QSAR model was used for the prediction of the inhibition of AChE by an external prediction set of molecules. The accuracy of these predictions was asserted by statistical significance tests and by comparisons to simple but relevant reference models.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Läkemedelskemi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Medicinal Chemistry (hsv//eng)

Keyword

Acetylcholinesterase
AChE
Quantitative structure-activity relationship
QSAR
Statistical molecular sign
SMD
Covariance matrix
Descriptors
Correlation

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