Representing catalytic mechanisms with rule composition
Authors:
- Jakob L. AndersenJAJakob L. Andersen
- Rolf FagerbergRFRolf Fagerberg
- Christoph FlammCFChristoph Flamm
- Walter FontanaWFWalter Fontana
- Juri KolčákJKJuri Kolčák
- Christophe V. F. P. LaurentCLChristophe V. F. P. Laurent
- Daniel MerkleDMDaniel Merkle
- Nikolai NøjgaardNNNikolai Nøjgaard
Preprint
Abstract
Reaction mechanisms are often presented as sequences of elementary steps, such as codified by arrow pushing. We propose an approach for representing such mechanisms using graph transformation. In this framework, each elementary step is a rule for modifying a molecular graph and a mechanism is a sequence of such rules. To generate a compact representation of a multi-step reaction, we compose the rules of individual steps into a composite rule, providing a rigorous and fully automated approach to coarse-graining. While the composite rule retains the graphical conditions necessary for the execution of a mechanism, it also records information about transient changes not visible by comparing educts and products. By projecting the rule onto a single "overlay graph", we generalize Fujita's idea of an Imaginary Transition Structure from elementary reactions to composite reactions. The utility of the overlay graph construct is exemplified in the context of enzyme-catalyzed reactions. In a first application, we exploit mechanistic information in the Mechanism and Catalytic Site Atlas to construct overlay graphs of hydrolase reactions listed in the database. These graphs point at a spectrum of catalytic entanglement of enzyme and substrate, de-emphasizing the notion of a singular catalyst in favor of a collection of catalytic sites that can be distributed across enzyme and substrate. In a second application, we deploy composite rules to search the Rhea database for reactions of known or unknown mechanism that are, in principle, compatible with the mechanisms implied by the composite rules. We believe this work adds to the utility of graph-transformation formalisms in representing and reasoning about chemistry in an automated yet insightful fashion.Keywords
All Related Versions
This publication has 17 references indexed in Scilit:
- Rewriting theory for the life sciences: A unifying theory of CTMC semanticsTheoretical Computer Science, 2021
- New horizons for catalysis disclosed by supramolecular chemistryChemical Society Reviews, 2021
- Combining Graph Transformations and Semigroups for Isotopic Labeling DesignJournal of Computational Biology, 2020
- Updates in Rhea: SPARQLing biochemical reaction dataNucleic Acids Research, 2018
- The Kappa platform for rule-based modelingBioinformatics, 2018
- Mechanism and Catalytic Site Atlas (M-CSA): a database of enzyme reaction mechanisms and active sitesNucleic Acids Research, 2017
- In silico Support for Eschenmoser’s Glyoxylate ScenarioIsrael Journal of Chemistry, 2015
- BioNetGen: software for rule-based modeling of signal transduction based on the interactions of molecular domainsBioinformatics, 2004
- Double-pushout graph transformation revisitedMathematical Structures in Computer Science, 2001
- Description of organic reactions based on imaginary transition structures. 1. Introduction of new conceptsJournal of Chemical Information and Computer Sciences, 1986