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Large-Scale Mining for Similar Protein Binding Pockets: With RAPMAD Retrieval on the Fly Becomes Real

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Dali/FSSP classification of three-dimensional protein folds
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inferredcites →https://doi.org/10.1109/tcbb.2011.42openalex-snapshot
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From Genome to Function
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Algorithm 457: finding all cliques of an undirected graph
inferredcites →https://doi.org/10.1145/571647.571648openalex-snapshot
Shape distributions
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PocketMatch: A new algorithm to compare binding sites in protein structures
inferredcites →https://doi.org/10.1186/1472-6807-8-45openalex-snapshot
Protein Functional Surfaces: Global Shape Matching and Local Spatial Alignments of Ligand Binding Sites
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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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Prediction, Analysis, and Comparison of Active Sites
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Co-supervised Pre-training of Pocket and Ligand
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Estimating the Similarity between Protein Pockets
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