Titlebook: A Primer on QSAR/QSPR Modeling; Fundamental Concepts Kunal Roy,Supratik Kar,Rudra Narayan Das Book 2015 The Author(s) 2015 Chemoinformatics

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https://doi.org/10.1007/978-3-319-17281-1Chemoinformatics for Drug Discovery; Chemometric Modeling; Drug Design Modelling; QSAR Definition; QSAR

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https://doi.org/10.1007/978-4-431-54544-6hemicals including pharmaceuticals. Considering the wide application of different types of chemicals in human life, QSAR modeling is a useful tool for prediction of biological activity, physicochemical property, and toxicological responses of untested chemical compounds. Descriptors play a crucial r

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Fernando Sansò,Daniele Sampietroistical approach. The regression- and classification-based strategies are employed to serve the purpose of developing models for quantitative and graded response data, respectively. In addition to the conventional methods, various machine learning tools are also useful for QSAR/QSPR modeling analysi

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Fernando Sansò,Daniele Sampietrocations of predictive modeling analysis, various newer methods have recently been developed to improve the usefulness and applicability of QSAR techniques. Binary QSAR, hologram QSAR (HQSAR), group-based QSAR (G-QSAR), multivariate image analysis (MIA)-based QSAR (MIA-QSAR), etc., are some of the ne

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Nicole Mitschedigital pedagogy. It introduces some of the key concepts that are explored and anchors the reader by establishing the major conceptual and methodological underpinnings of the book. It positions choreographic practice at the centre of the research and how it is incorporated into broader consideration

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Nihal Pekergin,Sovanna Tanpower management plays a vital role in providing potential solutions. It helps to ensure efficient, safe and reliable electric distribution to the devices connected to it. In general, the power supply of datacenters is connected to the grid, which is operated using non-renewable or brown energy (NRE

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