Computational Toxicology Volume II
Rapid advances in computer science, biology, chemistry, and other disciplines are enabling powerful new computational tools and models for toxicology and pharmacology. These computational tools hold tremendous promise for advancing science, from streamlining drug efficacy and safety testing, to incr...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Totowa, NJ
Humana
2013, 2013
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| Edition: | 1st ed. 2013 |
| Series: | Methods in Molecular Biology
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Methods for Building QSARs
- Accessing and Using Chemical Databases
- From QSAR to QSIIR: Searching for Enhanced Computational Toxicology Models
- Mutagenicity, Carcinogenicity and Other Endpoints
- Classification Models for Safe Drug Molecules
- QSAR and Metabolic Assessment Tools in the Assessment of Genotoxicity
- Gene Expression Networks
- Construction of Cell Type-Specific Logic Models of Signaling Networks Using CellNetOptimizer
- Regulatory Networks
- Computational Reconstruction of Metabolic Networks from KEGG
- Biomarkers
- Biomarkers: Environmental Public Health Indicators
- Modeling for Regulatory Purposes (Risk and Safety Assessment)
- Developmental Toxicity Prediction
- Predictive Computational Toxicology to Support Drug Safety Assessment
- Developing a Practical Toxicogenomics Data Analysis System Utilizing Open-Source Software
- Systems Toxicology from Genes to Organs
- Agent Based Models of Cellular Systems
- Linear Algebra
- Ordinary Differential Equations
- On the Development and Validation of QSAR Models
- Principal Components Analysis
- Partial Least Square Methods: Partial Least Squares Correlation and Partial Least Square Regression
- Maximum Likelihood
- Bayesian Inference