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Chemical predictive modelling to improve compound quality

Chemical predictive modelling to improve compound quality

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1462762315

Chemical predictive modelling to improve compound quality

About this item

Full title

Chemical predictive modelling to improve compound quality

Publisher

London: Nature Publishing Group UK

Journal title

Nature reviews. Drug discovery, 2013-12, Vol.12 (12), p.948-962

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Key Points
Chemical predictive modelling encompasses empirical computational methods based on observed patterns in data that guide the design of future compounds.
Simple physicochemical property-based guidelines and structure-based chemical filters, such as AstraZeneca's AZFilters, are used to identify poor-quality compounds in screening set...

Alternative Titles

Full title

Chemical predictive modelling to improve compound quality

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_1462762315

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1462762315

Other Identifiers

ISSN

1474-1776

E-ISSN

1474-1784

DOI

10.1038/nrd4128

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