Feature Reduction for Molecular Similarity Searching Based on Autoencoder Deep Learning
Feature Reduction for Molecular Similarity Searching Based on Autoencoder Deep Learning
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Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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The concept of molecular similarity has been commonly used in rational drug design, where structurally similar molecules are examined in molecular databases to retrieve functionally similar molecules. The most used conventional similarity methods used two-dimensional (2D) fingerprints to evaluate the similarity of molecules towards a target query....
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Feature Reduction for Molecular Similarity Searching Based on Autoencoder Deep Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_495679f0cec246eeadf36f804888f255
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_495679f0cec246eeadf36f804888f255
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ISSN
2218-273X
E-ISSN
2218-273X
DOI
10.3390/biom12040508