Advances in QSAR Modeling Applications in Pharmaceutical, Chemical, Food, Agricultural and Environmental Sciences /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Roy, Kunal (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Challenges and Advances in Computational Chemistry and Physics, 24
• Θέματα: Chemistry.; Pharmaceutical technology.; Food > Biotechnology.; Chemistry, Physical and theoretical.; Medicinal chemistry.; Agriculture.; Environmental chemistry.; Theoretical and Computational Chemistry.; Pharmaceutical Sciences/Technology.; Environmental Chemistry.; Food Science.; Medicinal Chemistry.
• Φυσική περιγραφή: X, 555 p. 132 illus., 71 illus. in color. online resource.
• ISBN: 9783319568508
• ISSN: 2542-4491 ;

The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR). Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included – two areas which have only recently been able to exploit this versatile tool.   This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR.