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.
journal_name
J Comput Aided Mol Desjournal_title
Journal of computer-aided molecular designauthors
Katritzky AR,Slavov SH,Dobchev DA,Karelson Mdoi
10.1007/s10822-007-9118-ysubject
Has Abstractpub_date
2007-07-01 00:00:00pages
371-7issue
7eissn
0920-654Xissn
1573-4951journal_volume
21pub_type
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journal_title:Journal of computer-aided molecular design
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