logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Qsar And Spectralsar In Computational Ecotoxicology Putz Mihai V

  • SKU: BELL-4422116
Qsar And Spectralsar In Computational Ecotoxicology Putz Mihai V
$ 31.00 $ 45.00 (-31%)

5.0

68 reviews

Qsar And Spectralsar In Computational Ecotoxicology Putz Mihai V instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 3.9 MB
Pages: 242
Author: Putz, Mihai V.
ISBN: 9781466558847, 9781926895130, 1466558849, 1926895134
Language: English
Year: 2012

Product desciption

Qsar And Spectralsar In Computational Ecotoxicology Putz Mihai V by Putz, Mihai V. 9781466558847, 9781926895130, 1466558849, 1926895134 instant download after payment.

QSAR and SPECTRAL-SAR in Computational Ecotoxicology presents a collection of studies based on the epistemological bulk data-information-knowledge of the chemicals used in green chemistry. It assesses a specific model of pattern characterization of concerned active substances at the bio-, eco-, and pharmacologic levels through unitary formulation of the effector-receptor binding degree potential, including the logistic type by employing a computational algebraic quantitative structure-activity relationship (QSAR) model called SPECTRAL-SAR. It aims to minimize the residual recorded activities in the experiments that study the enzymic, ionic liquid, antagonists, and allosteric inhibition interactions.The book covers:The classic QSAR approachThe new SPECTRAL-SAR approachHow to draw SPECTRAL-SAR maps for predicting ecotoxicological mechanisms for a given series of toxicants and single or multi-species in an open systemBiological activity as related to chemical reactivity through associate descriptorsThis book will be very useful in advanced courses on computational ecotoxicology, drug design and interaction, methods in quantum and computational chemistry, chemical molding, chemical bonding, and others.

Related Products