Volume 31, Issue 7
Other Subjects
Full Access

ChemInform Abstract: Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural Network.

Giuseppina Gini

Giuseppina Gini

Dip. Elettron. Inf., Politec. Milano, I-20133 Milano, Italy

Search for more papers by this author
Marco Lorenzini

Marco Lorenzini

Dip. Elettron. Inf., Politec. Milano, I-20133 Milano, Italy

Search for more papers by this author
Emilio Benfenati

Emilio Benfenati

Dip. Elettron. Inf., Politec. Milano, I-20133 Milano, Italy

Search for more papers by this author
Paola Grasso

Paola Grasso

Dip. Elettron. Inf., Politec. Milano, I-20133 Milano, Italy

Search for more papers by this author
Maurizio Bruschi

Maurizio Bruschi

Dip. Elettron. Inf., Politec. Milano, I-20133 Milano, Italy

Search for more papers by this author
First published: 10 June 2010

Abstract

ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.