Computational Methods For Reproductive And Developmental Toxicology Qsar In: Your Guide to Computational Toxicology
Computational methods are rapidly transforming the field of reproductive and developmental toxicology. These methods can be used to predict the potential toxicity of chemicals, identify mechanisms of action, and develop safer alternatives.
This book provides a comprehensive overview of the computational methods that are currently used in reproductive and developmental toxicology. It covers a wide range of topics, including:
5 out of 5
| Language | : | English |
| Hardcover | : | 274 pages |
| Item Weight | : | 1.19 pounds |
| Dimensions | : | 6 x 0.63 x 9 inches |
| File size | : | 12696 KB |
| Screen Reader | : | Supported |
| Print length | : | 344 pages |
* Quantitative structure-activity relationships (QSARs) * Machine learning * Systems biology * High-throughput screening * Adverse outcome pathways
The book is written by leading experts in the field, and it is essential reading for anyone who is interested in the use of computational methods in reproductive and developmental toxicology.
Chapter 1: to Computational Toxicology
This chapter provides an overview of the field of computational toxicology, including its history, current applications, and future prospects. It also discusses the challenges and opportunities associated with the use of computational methods in toxicology.
Chapter 2: QSARs in Reproductive and Developmental Toxicology
QSARs are mathematical models that can be used to predict the toxicity of chemicals based on their structure. This chapter provides an overview of the different types of QSARs that are used in reproductive and developmental toxicology, as well as their strengths and limitations.
Chapter 3: Machine Learning in Reproductive and Developmental Toxicology
Machine learning is a type of artificial intelligence that can be used to learn from data. This chapter provides an overview of the different types of machine learning algorithms that are used in reproductive and developmental toxicology, as well as their strengths and limitations.
Chapter 4: Systems Biology in Reproductive and Developmental Toxicology
Systems biology is the study of complex biological systems, such as the human body. This chapter provides an overview of the different types of systems biology approaches that are used in reproductive and developmental toxicology, as well as their strengths and limitations.
Chapter 5: High-Throughput Screening in Reproductive and Developmental Toxicology
High-throughput screening is a technique that can be used to test the toxicity of chemicals in a rapid and efficient manner. This chapter provides an overview of the different types of high-throughput screening assays that are used in reproductive and developmental toxicology, as well as their strengths and limitations.
Chapter 6: Adverse Outcome Pathways in Reproductive and Developmental Toxicology
Adverse outcome pathways (AOPs) are frameworks that can be used to describe the sequence of events that lead to a specific adverse outcome, such as birth defects. This chapter provides an overview of the different types of AOPs that are used in reproductive and developmental toxicology, as well as their strengths and limitations.
Computational methods are rapidly transforming the field of reproductive and developmental toxicology. These methods can be used to predict the potential toxicity of chemicals, identify mechanisms of action, and develop safer alternatives. This book provides a comprehensive overview of the computational methods that are currently used in reproductive and developmental toxicology, and it is essential reading for anyone who is interested in the use of computational methods in this field.
5 out of 5
| Language | : | English |
| Hardcover | : | 274 pages |
| Item Weight | : | 1.19 pounds |
| Dimensions | : | 6 x 0.63 x 9 inches |
| File size | : | 12696 KB |
| Screen Reader | : | Supported |
| Print length | : | 344 pages |
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5 out of 5
| Language | : | English |
| Hardcover | : | 274 pages |
| Item Weight | : | 1.19 pounds |
| Dimensions | : | 6 x 0.63 x 9 inches |
| File size | : | 12696 KB |
| Screen Reader | : | Supported |
| Print length | : | 344 pages |
