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Magic Rings: Navigation in the Ring Chemical Space Guided by the Bioactive Rings
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Cheminformatics Analysis of Natural Product Scaffolds: Comparison of Scaffolds Produced by Animals, Plants, Fungi and Bacteria
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Privileged scaffolds for library design and drug discovery
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Compound promiscuity: what can we learn from current data?
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Identification of Bioisosteric Substituents by a Deep Neural Network
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ZINC20─A Free Ultralarge-Scale Chemical Database for Ligand Discovery
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Virtual Exploration of the Ring Systems Chemical Universe
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Scaffold Diversity of Exemplified Medicinal Chemistry Space
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Lessons Learned from Molecular Scaffold Analysis
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Intuitive Ordering of Scaffolds and Scaffold Similarity Searching Using Scaffold Keys
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Quest for the Rings. In Silico Exploration of Ring Universe To Identify Novel Bioactive Heteroaromatic Scaffolds
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Polypharmacology: Challenges and Opportunities in Drug Discovery
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The Properties of Known Drugs. 1. Molecular Frameworks
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Global mapping of pharmacological space
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ChEMBL: towards direct deposition of bioassay data
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Synthetically Accessible Virtual Inventory (SAVI)
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Identifying Promiscuous Compounds with Activity against Different Target Classes
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Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Additional file 1 of Rxn-INSIGHT: fast chemical reaction analysis using bond-electron matrices
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Additional file 2 of Rxn-INSIGHT: fast chemical reaction analysis using bond-electron matrices
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