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.... genome with a length of approximately 9.6 kilobases encodes a polypeptide precursor consisting of about 3010 amino acid residues. ... two domains and formed by a shallow solvent exposed pocket requiring many interaction points for substrates or inhibitors binding. ... The pockets on the HCV NS3/4a in which the P1 site chain interacts would be called S1 pocket, and so forth for S2, S3, S4, S5, or S6anbsp;...
|Title||:||Quantitative Structure-Activity Relationships in Drug Design, Predictive Toxicology, and Risk Assessment|
|Publisher||:||IGI Global - 2015-02-28|