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.

Kunal Roy is a final year student in computer science engineering at Global Academy of Technology, Bangalore, India. While his key interest is in computer science, where he has already co-authored two international refereed research publications, he is also a science fiction enthusiast. He has always admired the way in which it has been used to highlight the strength of a pure human endeavor in surmounting un-scalable odds, especially nothing that through most, if not all science fiction, the alien race is physically and mentally superior to the human race.

He is also a huge fan of the larger than life characters- Thor, Superman, Batman, Galactus, Odin, Hulk, their relatable personalities and life journeys, the grand-scale encounters between colossal powers and the many marvelous fictitious-scientific concepts that inspire real-life scientists, which science fiction has been able to present to us over the years. In Kunal's view, all of these elements come together so well that science fiction plots make for the most complete and the most compelling stories.