Abstract
Chemical graph theory has been extensively applied in the characterization of structure in many areas of science, chemistry and biology in particular. Numerical graph invariants ofmolecules or topological indices have been used in the characterization of structure, discrimination of pathological structures like isospectral graphs, prediction of property/ bioactivity of molecules for new drug discovery and environment protection as well as quantification of intermolecular similarity. More recently, methods of discrete mathematics have found applications in the characterization of complex biological objects like DNA/ RNA/ protein sequences and proteomics maps. This chapter reviews the latest results in applications of discrete mathematics, graph theory in particular, to chemical and biological systems.
| Original language | English (US) |
|---|---|
| Title of host publication | Applied Mathematics |
| Editors | Susmita Sarkar, Uma Basu, S. Soumen De |
| Publisher | Springer New York LLC |
| Pages | 141-148 |
| Number of pages | 8 |
| ISBN (Print) | 9788132225461 |
| DOIs | |
| State | Published - 2015 |
| Event | Emerging Trends in Applied Mathematics, 2014 - Kolkata, India Duration: Feb 12 2014 → Feb 14 2014 |
Publication series
| Name | Springer Proceedings in Mathematics and Statistics |
|---|---|
| Volume | 146 |
| ISSN (Print) | 2194-1009 |
| ISSN (Electronic) | 2194-1017 |
Other
| Other | Emerging Trends in Applied Mathematics, 2014 |
|---|---|
| Country/Territory | India |
| City | Kolkata |
| Period | 2/12/14 → 2/14/14 |
Bibliographical note
Publisher Copyright:© Springer India 2015.
Keywords
- Adjacency matrix
- Chirality
- Distance
- Dna sequence and proteomics maps
- Edges
- Hydrogen-filled graph
- Hydrogen-suppressed graph
- Isospectral graphs
- Molecular similarity
- Pathological graphs
- Topological indices
- Vertices