Chemical predictive modelling to improve compound quality
Chemical predictive modelling to improve compound quality
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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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...
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Chemical predictive modelling to improve compound quality
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TN_cdi_proquest_miscellaneous_1462762315
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1462762315
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ISSN
1474-1776
E-ISSN
1474-1784
DOI
10.1038/nrd4128