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Published in 2023 at "Chemical research in toxicology"
DOI: 10.1021/acs.chemrestox.2c00379
Abstract: The need for careful assembly, training, and validation of quantitative structure-activity/property models (QSAR/QSPR) is more significant than ever as data sets become larger and sophisticated machine learning tools become increasingly ubiquitous and accessible to the…
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Keywords:
application;
qsar qspr;
water solubility;
water ... See more keywords
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Published in 2024 at "Journal of Cheminformatics"
DOI: 10.1186/s13321-024-00888-z
Abstract: The exponential growth of data is challenging for humans because their ability to analyze data is limited. Especially in chemistry, there is a demand for tools that can visualize molecular datasets in a convenient graphical…
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Keywords:
navigation;
chemical space;
qsar qspr;
qspr models ... See more keywords
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1
Published in 2019 at "Acta chimica Slovenica"
DOI: 10.17344/acsi.2018.4793
Abstract: The present work has focused on the application of the inverse-QSAR/QSPR problem for generating new structures of pesticides; this is in view of its extremely important and widespread use in several areas, particularly the agricultural…
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Keywords:
qsar;
inverse qsar;
qsar qspr;
application inverse ... See more keywords
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1
Published in 2017 at "Current topics in medicinal chemistry"
DOI: 10.2174/1568026617666170821123856
Abstract: BACKGROUND There are a great number of tools that can be used in QSAR/QSPR studies; they are implemented in several programs that are reviewed in this report. The usefulness of new tools can be proved…
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Keywords:
new tool;
report;
qsar qspr;
drug discovery ... See more keywords