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Profile Scaling Increases the Similarity Search Performance of Molecular Fingerprints Containing Numerical Descriptors and Structural Keys
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Statistical Methods in Analytical Chemistry
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Selected Concepts and Investigations in Compound Classification, Molecular Descriptor Analysis, and Virtual Screening
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Clustering of Large Databases of Compounds: Using the MDL “Keys” as Structural Descriptors
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The Information Content of 2D and 3D Structural Descriptors Relevant to Ligand-Receptor Binding
inferredcites →https://doi.org/10.1021/ci980159jopenalex-snapshot
Pharmacophore Fingerprinting. 1. Application to QSAR and Focused Library Design
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Integration of virtual and high-throughput screening
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Grouping of Coefficients for the Calculation of Inter-Molecular Similarity and Dissimilarity using 2D Fragment Bit-Strings
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Molecular Similarity Methods and QSAR Models As Tools for Virtual Screening
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Comparison of 2D Fingerprint Methods for Multiple‐Template Similarity Searching on Compound Activity Classes of Increasing Structural Diversity
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Lossless Compression of Chemical Fingerprints Using Integer Entropy Codes Improves Storage and Retrieval
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Fingerprint Design And Engineering Strategies: Rationalizing And Improving Similarity Search Performance
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