V. Bonnici, R. Giugno, A. Pulvirenti, D. Shasha, and A. Ferro, A subgraph isomorphism algorithm and its application to biochemical data, BMC Bioinformatics, vol.14, issue.Suppl 7, p.13, 2013.
DOI : 10.1093/nar/gkq973
URL : http://doi.org/10.1186/1471-2105-14-s7-s13

J. Brown, T. Urata, T. Tamura, M. A. Arai, T. Kawabata et al., COMPOUND ANALYSIS VIA GRAPH KERNELS INCORPORATING CHIRALITY, Journal of Bioinformatics and Computational Biology, vol.08, issue.supp01, pp.63-81, 2010.
DOI : 10.1142/S0219720010005117

B. Gaüzère, L. Brun, and D. Villemin, Two new graphs kernels in chemoinformatics, Pattern Recognition Letters, vol.33, issue.15, pp.2038-2047, 2012.
DOI : 10.1016/j.patrec.2012.03.020

P. Grenier, L. Brun, and D. Villemin, Incorporating stereo information within the graph kernel framework, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00809066

P. Grenier, L. Brun, and D. Villemin, Treelet Kernel Incorporating Chiral Information, Graph-Based Representations in Pattern Recognition, pp.132-141, 2013.
DOI : 10.1007/978-3-642-38221-5_14
URL : https://hal.archives-ouvertes.fr/hal-00824172

P. Mahé and J. Vert, Graph kernels based on tree patterns for molecules, Machine Learning, pp.3-35, 2008.
DOI : 10.1007/s10994-008-5086-2

M. Petitjean, Chirality in metric spaces. Symmetry, Culture and Science, vol.21, pp.27-36, 2010.

W. T. Wipke and T. M. Dyott, Stereochemically unique naming algorithm, Journal of the American Chemical Society, vol.96, issue.15, pp.4834-4842, 1974.
DOI : 10.1021/ja00822a021

H. Zhu, J. Ren, and C. U. Pittman-jr, Matrix model to predict specific optical rotations of acyclic chiral molecules, Tetrahedron, vol.63, issue.10, pp.632292-2314, 2007.
DOI : 10.1016/j.tet.2006.12.061