660,79 €
Advances in QSAR Modeling
Advances in QSAR Modeling
  • Išparduota
Advances in QSAR Modeling
Advances in QSAR Modeling
El. knyga:
660,79 €
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…
  • Leidėjas:
  • Metai: 2017
  • ISBN: 9783319568508
  • ISBN-10: 3319568507
  • ISBN-13: 9783319568508
  • Formatas: PDF
  • Kalba: Anglų

Advances in QSAR Modeling (el. knyga) (skaityta knyga) | knygos.lt

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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.
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  • Leidėjas:
  • Metai: 2017
  • ISBN: 9783319568508
  • ISBN-10: 3319568507
  • ISBN-13: 9783319568508
  • Formatas: PDF
  • Kalba: Anglų

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.

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