Algorithm for Combinatorial Bipartite Enumeration of Chiral and Achiral Stereoisomers of Homo- and Heteropolysubstituted Derivatives of the Cubane Molecule

Authors

  • Leonel Marcelin Djoumessi Tsassi Department of Inorganic Chemistry, Faculty of Science University of Yaounde I, Yaounde, Cameroon
  • Alphonse Emadak Department of Inorganic Chemistry, Faculty of Science University of Yaounde I, Yaounde, Cameroon
  • Ibrahim Mbouombouo Ndassa Department of Chemistry, Higher Teacher Training College University of Yaounde I, Yaounde, Cameroon
  • Issofa Patouossa Department of Inorganic Chemistry, Faculty of Science University of Yaounde I, Yaounde, Cameroon
  • Jules César Epée Ndongue Department of Inorganic Chemistry, Faculty of Science University of Yaounde I, Yaounde, Cameroon

DOI:

https://doi.org/10.14738/aivp.106.13277

Abstract

This paper is devoted to the application of an algorithm for the enumeration of chiral and achiral stereoisomers of homo and heteropolysubstituted derivatives of the cubane molecule. The sequence of this algorithm is in three steps, the first of which is the determination of the permutations of 8 hydrogen atoms of the cuban molecule ( ) subjected to the action of the Oh group. The second step will be the composition of these permutations later into permutational representations and controlling respectively the chirality and achirality of this molecular system. The transformation of these 2 operators into a pair of generic formulae used for bipartite combinatorial enumeration giving chiral and achiral isomer numbers of the homo- and hetero-polysubstituted derivatives of the cubane molecule respectively symbolised by the empirical formulae and being the final step.

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Published

2022-12-11

How to Cite

Tsassi, L. M. D., Emadak, A., Ndassa, I. M., Patouossa, I., & Ndongue, J. C. E. (2022). Algorithm for Combinatorial Bipartite Enumeration of Chiral and Achiral Stereoisomers of Homo- and Heteropolysubstituted Derivatives of the Cubane Molecule. European Journal of Applied Sciences, 10(6), 371–391. https://doi.org/10.14738/aivp.106.13277

Issue

Vol. 10 No. 6 (2022): European Journal of Applied Sciences

Section

Articles

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Copyright (c) 2022 Leonel Marcelin Djoumessi Tsassi, Alphonse Emadak, Ibrahim Mbouombouo Ndassa, Issofa Patouossa, Jules César Epée Ndongue

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This work is licensed under a Creative Commons Attribution 4.0 International License.