Jogoth Ali
University of Hertfordshire
3 Papers
Jogoth Ali is an academic researcher from University of Hertfordshire. The author has contributed to research in topics: Solubility & Quantitative structure–activity relationship. The author has an hindex of 3, co-authored 3 publications.
Chat about Author
Papers
Revisiting the General Solubility Equation: In Silico Prediction of Aqueous Solubility Incorporating the Effect of Topographical Polar Surface Area
TL;DR: An alternative simple model for predicting aqueous solubility is proposed which replaces the melting point descriptor of the GSE with TPSA and hence can be applied to virtual compounds.
233
In Silico Prediction of Aqueous Solubility Using Simple QSPR Models: The Importance of Phenol and Phenol-like Moieties
TL;DR: Modification of the TPSA model to additionally incorporate a descriptor pertaining to a simple count of phenol and phenol-like moieties improves the predictive ability within ± one log unit, and can be rationalized as the additional descriptor in the model acting as a correction factor which acknowledges the effect of phenolic substituents on the electronic characteristics of aromatic molecules.
88
Predicting the Fine Particle Fraction of Dry Powder Inhalers Using Artificial Neural Networks.
Joanna Muddle,Stewart B. Kirton,Irene Parisini,Andrew Muddle,Darragh Murnane,Jogoth Ali,Marc B. Brown,Clive P. Page,Ben Forbes +8 more
TL;DR: The Taguchi method was effective at identifying successful architecture with the potential for development as a useful generic inhaler ANN model, although this would require much larger datasets and more variable inputs.
20