Titlebook: Advances in QSAR Modeling; Applications in Phar Kunal Roy Book 2017 Springer International Publishing AG 2017 Quantitative Structure-Activi

引導(dǎo)

2542-4491 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..978-3-319-86018-3978-3-319-56850-8Series ISSN 2542-4491 Series E-ISSN 2542-4483

arterioles

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較早

Nikolai Dolbilin,Jin-ichi Itoh,Chie Narae activity of miscellaneous agrochemicals and food products as well as the interaction between the free radicals and antioxidant molecules. This chapter justifies the need to develop additional QSAR models in combination with other in silico approaches for the design of . agrochemicals, food and foo

manifestation

Surface Shapes and Their Proximities,activity cliff generators and their relevance to develop QSAR models. Computational methods applied to elucidate Quantitative Structure-Epigenetic Activity Relationships are in line with the increasing and developing research area of Epi-informatics.

CARE

https://doi.org/10.1007/978-3-030-22192-8roaches, for in vitro permeability predictions, predictions for human intestinal absorption and blood brain barrier penetration, as well as for plasma protein binding and drug metabolism. The value of global and local models as well as their interpretability and the criteria for their evaluation and

一瞥

Salvador Dominguez,Oliver Güntheral systems . is central, in order to enable both prediction of impacts from related NMs [via quantitative property-activity or structure-activity relationships (QPARs/QSARs)] and development of strategies to ensure that these features are avoided in NM production in the future (“safety by design”).

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