Reviews
Description
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:
This 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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 18d.17:57:39
The discount code is valid when purchasing from 10 €. Discounts do not stack.
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:
This 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.
Reviews