2021
DOI: 10.1039/d1ra00914a
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Improved herbicide discovery using physico-chemical rules refined by antimalarial library screening

Abstract: Trawling hundreds of antimalarials for herbicides, we develop a weighted scoring system for the phys-chem ‘rules’ of herbicide-likeness. Using this, we discover the antimalarial MMV1206386 is herbicidal via a novel mode of action.

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Cited by 16 publications
(24 citation statements)
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“…The calculation of physiochemical data and cluster analysis for the analogues were done as previously described (Gandy et al, 2015;Sukhoverkov et al, 2021).…”
Section: Physiochemical Datamentioning
confidence: 99%
See 1 more Smart Citation
“…The calculation of physiochemical data and cluster analysis for the analogues were done as previously described (Gandy et al, 2015;Sukhoverkov et al, 2021).…”
Section: Physiochemical Datamentioning
confidence: 99%
“…The physiochemical data of the compounds were compared with commercial herbicides using the database available from Gandy et al (2015) with an updated version from Sukhoverkov et al (2021).…”
Section: Physiochemical Analysis Of Analoguesmentioning
confidence: 99%
“…The calculation of physiochemical data and cluster analysis for the analogues were done as previously described. 12,13…”
Section: Physiochemical Datamentioning
confidence: 99%
“…The physiochemical data of the compounds were compared to commercial herbicides using the database available from Gandy et al 12 with an updated version from Sukhoverkov et al 13 From the cluster analysis performed (Figure 3) it was seen that for most properties (molar mass, partition coeffecient, distribution coefficient and polar surface area) the analogues generally fit within the bounds of common properties of herbicides. However, for the proportion of aromatic atoms, the majority of the analogues, including 1, had percentages higher than what is typical for herbicides (Figure 3F).…”
Section: Physiochemical Analysis Of Analoguesmentioning
confidence: 99%
See 1 more Smart Citation