English

A new graph modelisation for molecule similarity

Data Structures and Algorithms 2018-07-13 v1

Abstract

In order to define the process of restrosynthesis of a new organic molecule, it is often necessary to be able to draw inspiration from that of a molecule similar to the target one of which we know such a process. To compute such a similarity, an oftently used approach is to solve a Maximum Common Edge Subgraph (MCES) problem on molecular graphs, but such an approach is limited by computation time and pertinence of similarity measurement. In this paper, we define and analyse here a new graph representation of molecules to algorithmically compare them. The purpose is to model the structure of molecule by a graph smaller than the molecular graph and representing the interconnexion of its elementary cycles. We provide an algorithm to efficiently obtain such a graph of cycles from a molecular graph. Then by solving MCES problems on those graphs, we evaluate the pertinence of using graphs of cycles for molecular similarity on a select set of molecules.

Keywords

Cite

@article{arxiv.1807.04528,
  title  = {A new graph modelisation for molecule similarity},
  author = {Stéfi Nouleho and Dominique Barth and Franck Quessette and Marc-Antoine Weisser and Dimitri Watel and Olivier David},
  journal= {arXiv preprint arXiv:1807.04528},
  year   = {2018}
}

Comments

32 pages, 40 figures

R2 v1 2026-06-23T02:58:46.046Z