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CLIP: Similarity Searching of 3D Databases Using Clique Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Development of an atom mapping procedure for similarity searching in databases of three‐dimensional chemical structures
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Techniques for the calculation of three-dimensional structural similarity using inter-atomic distances
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Graph distances using graph union
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Clique-Detection Algorithms for Matching Three-Dimensional Molecular Structures
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Virtual screening and fast automated docking methods
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Genome annotation techniques: new approaches and challenges
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Algorithms for the identification of three-dimensional maximal common substructures
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Expert system for machine-aided indexing
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Use of Structure−Activity Data To Compare Structure-Based Clustering Methods and Descriptors for Use in Compound Selection
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Comparing 3D Pharmacophore Triplets and 2D Fingerprints for Selecting Diverse Compound Subsets
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A Computational Ensemble Pharmacophore Model for Identifying Substrates of P-Glycoprotein
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New 4-Point Pharmacophore Method for Molecular Similarity and Diversity Applications: Overview of the Method and Applications, Including a Novel Approach to the Design of Combinatorial Libraries Containing Privileged Substructures
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Computational methods for the structural alignment of molecules
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Maximal independent sets in bipartite graphs with at least one cycle
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