| Literature DB >> 17563860 |
Alan R Katritzky1, Svetoslav H Slavov, Dimitar A Dobchev, Mati Karelson.
Abstract
Literature UV absorption intensities at 260 nm and 25 degrees C in water of a diverse set of 805 organic compounds when analyzed by CODESSA Pro software using an initial pool of 800 + descriptors provide a significant QSPR correlation (R (2) = 0.692). Concurrently, a neural networks approach was used to develop a corresponding nonlinear model. The descriptors appearing in these models are discussed with respect to the physical nature of the UV absorption phenomenon.Entities:
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Year: 2007 PMID: 17563860 DOI: 10.1007/s10822-007-9118-y
Source DB: PubMed Journal: J Comput Aided Mol Des ISSN: 0920-654X Impact factor: 3.686