title: EVA: a new theoretically based molecular descriptor for use in QSAR/QSPR analysis.
abstract: A new descriptor of molecular structure, EVA, for use in the derivation of robustly predictive QSAR relationships is described. It is based on theoretically derived normal coordinate frequencies, and has been used extensively and successfully in proprietary chemical discovery programmes within Shell Research. As a result of informal dissemination of the methodology, it is now being used successfully in related areas such as pharmaceutical drug discovery. Much of the experimental data used in development remain proprietary, and are not available for publication. This paper describes the method and illustrates its application to the calculation of nonproprietary data, log P(ow), in both explanatory and predictive modes. It will be followed by other publications illustrating its application to a range of data derived from biological systems.
authors.affiliation: Shell Research Ltd., Sittingbourne Research Centre, Kent, U.K.
authors.forename: A M
authors.initials: AM
authors.lastname: Ferguson
authors.forename: T
authors.initials: T
authors.lastname: Heritage
authors.forename: P
authors.initials: P
authors.lastname: Jonathon
authors.forename: S E
authors.initials: SE
authors.lastname: Pack
authors.forename: L
authors.initials: L
authors.lastname: Phillips
authors.forename: J
authors.initials: J
authors.lastname: Rogan
authors.forename: P J
authors.initials: PJ
authors.lastname: Snaith
mesh_terms: D015195:Drug Design; D005069:Evaluation Studies as Topic; D008956:Models, Chemical; D015394:Molecular Structure; D012984:Software; D013223:Statistics as Topic; D013329:Structure-Activity Relationship