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- Publisher: Medical Information Science Reference
- ISBN-10: 1466681365
- ISBN-13: 9781466681361
- Format: 21.6 x 27.9 x 4 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment (e-book) (used book) | bookbook.eu
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Description
Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other properties of chemicals with descriptors representative of molecular structure and/or property. Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis. Focusing on emerging research in the field, this book is an ideal reference source for industry professionals, students, and academicians in the fields of medicinal chemistry and toxicology.
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- Publisher: Medical Information Science Reference
- ISBN-10: 1466681365
- ISBN-13: 9781466681361
- Format: 21.6 x 27.9 x 4 cm, kieti viršeliai
- Language: English English
Quantitative structure-activity relationships (QSARs) represent predictive models derived from the application of statistical tools correlating biological activity or other properties of chemicals with descriptors representative of molecular structure and/or property. Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment discusses recent advancements in the field of QSARs with special reference to their application in drug development, predictive toxicology, and chemical risk analysis. Focusing on emerging research in the field, this book is an ideal reference source for industry professionals, students, and academicians in the fields of medicinal chemistry and toxicology.
Reviews