Models to support decision-making processes on cardiac effects of pharmaceutical like chemicals.
Methodology of developing the human
clinical endpoints based on data from these reports is published by ICSAS group.1
References
1. Matthews, E.J., Kruhlak, N.L., Weaver, J.L., Benz, R.D., and Contrera, J.F. (2004) Assessment of the Health Effects of Chemicals in Humans: II. Construction of an Adverse Effects Database for QSAR Modeling. Current Drug Discovery Technologies 1:243-254.
The endpoints covered by this suite of models include:
Conduction disorders
Coronary artery disorders
Electrocardiogram disorders
Heart failure disorders
Arrhythmia disorders
Bradycardia disorders
QT prolongation
Tachycardia disorders
Torsades
Myocardial infarct disorders
Myocardial disorders
Palpitations
Rate rhythm disorders
Applicability domain defined by nearest neighbor analysis - explicit comparison of structural feature representations and coverage of test sets vs. the model
Stand-alone product with read-only models
Test structures entered in SMILES or MOL/SDF formats
Batch predictions
Windows XP or Vista with at least a Pentium 4, 1.0GHz processor (or equivalent) with Minimum 1.0 GB of RAM and 1 GB of disk space