QSAR in Safety Evaluation and Risk Assessment provides comprehensive coverage on QSAR methods, tools, data sources, and models focusing on applications in products safety evaluation and chemicals risk assessment.
Organized into five parts, the book covers almost all aspects of QSAR modeling and application. Topics in the book include methods of QSAR, from both scientific and regulatory viewpoints; data sources available for facilitating QSAR models development; software tools for QSAR development; and QSAR models developed for assisting safety evaluation and risk assessment. Chapter contributors are authored by a lineup of active scientists in this field. The chapters not only provide professional level technical summarizations but also cover introductory descriptions for all aspects of QSAR for safety evaluation and risk assessment.
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Huixiao Hong received his PhD from Nanjing University in China and conducted research at Maxwell Institute in Leeds University, England. He was an associate professor and the Director of Laboratory of Computational Chemistry at Nanjing University in China, a visiting scientist at the National Cancer Institute (NCI) at National Institutes of Health (NIH), a research scientist at Sumitomo Chemical Company in Japan. Huixiao Hong joined National Central for Toxicological Research (NCTR) at the U.S. Food and Drug Administration (FDA) in 2000. He is an SBRBPAS expert and the Chief of Bioinformatics Branch at NCTR/FDA. He is an associate editor of Experimental Biology and Medicine, Frontiers in Artificial Intelligence, and Frontiers in Bioinformatics, as well as editorial board member of several scientific journals. He has over 250 publications with over 15,000 citations and a Google Scholar H-index 63.
QSAR in Safety Evaluation and Risk Assessment provides comprehensive coverage on QSAR methods, tools, data sources, and models focusing on applications in products safety evaluation and chemicals risk assessment.
Organized into five parts, the book covers almost allmost aspects of QSAR modeling and application. Topics in the book include methods of QSAR, from both scientific and regulatory viewpoints; data sources available for facilitating QSAR models development; software tools for QSAR development; and QSAR models developed for assisting safety evaluation and risk assessment. Chapter contributors are authored by a lineup of active scientists in this field. The chapters not only provide professional level technical summarizations but also cover introductory descriptions for all aspects of QSAR for safety evaluation and risk assessment.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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