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In silico prediction of chemical mechanism of action via an improved network‐based inference method
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Discovery of Potent Ligands for Estrogen Receptor β by Structure-Based Virtual Screening
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The IUPHAR/BPS Guide to PHARMACOLOGY: an expert-driven knowledgebase of drug targets and their ligands
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The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands
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MoSGrid – a molecular simulation grid as a new tool in computational chemistry, biology and material science
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Estrogenic Activities of 517 Chemicals by Yeast Two-Hybrid Assay.
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Additional file 1 of DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning
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