Scientific article
English

Random Computer Generation of 3D Molecular Structures: Theoretical and Statistical Analysis

Published inMacromolecular theory and simulations, vol. 15, no. 2, p. 147-162
Publication date2006-02-17
Abstract

A computer program has been developed to generate three‐dimensional molecular structures randomly from a given collection of elementary chemical functional groups: the so‐called fragment database. The gradual assembly of the various fragments present in the database is performed according to a “self‐generation algorithm” (SGA). The latter is based on the covalent binding, step by step, between the unoccupied electronic valencies associated with the fragments of the database, and those of the growing molecular structure. When the number of electronic valencies of the molecular structure is zero, the growth process for this particular molecule is completed. It is shown that SGA is able to reproduce the asymmetric mass distributions of some natural colloids, like humic substances. In this article, particular attention is given to the analysis of the relationship existing between the fragment composition of the database and that of the collection of molecules generated. Mathematical expressions are derived and discussed, to understand the relationship between the proportions of the different types of fragments and the final composition of the generated molecular ensembles. For that purpose, a “pathway” formalism is proposed to describe exhaustively the whole set of generated molecules by specifying the distribution function of all of the fragments therein integrated. A statistical analysis that satisfactorily reproduces the predictions of the pathway model is extensively discussed.

Keywords
  • Chemical heterogeneity
  • Chemical structures (3D)
  • Humics
  • Molecular simulation
  • Polydispersity
  • Probability-based theory
Citation (ISO format)
PORQUET, Alain, DUVAL, Jérôme Fernand Louis, BUFFLE, Jacques. Random Computer Generation of 3D Molecular Structures: Theoretical and Statistical Analysis. In: Macromolecular theory and simulations, 2006, vol. 15, n° 2, p. 147–162. doi: 10.1002/mats.200500049
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Identifiers
Journal ISSN1022-1344
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