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Stereochemically Consistent Reaction Mapping and Identification of Multiple Reaction Mechanisms through Integer Linear Optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Backtrack search algorithms and the maximal common subgraph problem
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Improved Automated Reaction Mapping
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Use of a maximum common subgraph algorithm in the automatic identification of ostensible bond changes occurring in chemical reactions
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Identification of Symmetries in Molecules and Complexes
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An Open-Source Java Platform for Automated Reaction Mapping
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The Automatic Detection of Chemical Reaction Sites
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Automatic Determination of Reaction Mappings and Reaction Center Information. 1. The Imaginary Transition State Energy Approach
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Automatic Determination of Reaction Mappings and Reaction Center Information. 2. Validation on a Biochemical Reaction Database
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Dynamics of Peptide Folding: Transition States and Reaction Pathways of Solvated and Unsolvated Tetra-Alanine
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Maximum common subgraph isomorphism algorithms for the matching of chemical structures
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Computational characterization of zeolite porous networks: an automated approach
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Locating all transition states and studying the reaction pathways of potential energy surfaces
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Efficient Extraction of Mapping Rules of Atoms from Enzymatic Reaction Data
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RASCAL: Calculation of Graph Similarity using Maximum Common Edge Subgraphs
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LIGAND: database of chemical compounds and reactions in biological pathways
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Nonlinear and Mixed-Integer Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Reaction Data Curation I: Chemical Structures and Transformations Standardization
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Algorithm for Reaction Classification
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CLCA: Maximum Common Molecular Substructure Queries within the MetRxn Database
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Precise atom-to-atom mapping for organic reactions via human-in-the-loop machine learning
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MetAMDB: Metabolic Atom Mapping Database
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