Conference icon

Conference

The Applications of Artificial Neural Networks in the Identification of Quantitative Structure-Activity Relationships for Chemotherapeutic Drug Carcinogenicity

Abstract:

We investigate which of two Artificial Intelligence techniques is superior at making predictions about complex carcinogen systems. Artificial Neural Networks are shown to provide good predictions of carcinogen toxicology bands for drugs which are themselves used to treat cancerous cells, by using a novel system of molecular descriptors derived from the molecules' mass spectrometry intensities, reduced in dimensionality by Principal Component Analysis, to form a series of orthogonal descriptor...

Expand abstract
Publication status:
Published

Actions


Access Document


Authors


Priest, AC More by this author
Williamson, AJ More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Chemistry, Physical and Theoretical Chem
Volume:
6065
Pages:
137-146
Publication date:
2010
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
URN:
uuid:0ddc7a2c-376f-40e5-83e5-ce0f96fc7d34
Source identifiers:
65350
Local pid:
pubs:65350
ISBN:
978-3-642-13061-8

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP