title: A family of metrics for biopolymers based on counting independent sets.
abstract: We introduce a new family of metrics for graphs of fixed size, based on counting-independent sets. Our definition is simpler and easier to calculate than the edge ideal metric family defined by Llabrés and Rosselló without loosing any of its abstract properties. We contrast them on some examples with graphs that represent protein secondary and three-dimensional (3D) structures. We conclude that although the edge ideal metrics are faster to calculate on some sparse graphs, in general, the independent set metrics are more tractable.
authors.affiliation: Department of Mathematics and Computer Science, Research Institute of Health Science IUNICS, University of the Balearic Islands, 07122 Palma de Mallorca, Spain. jairo@uib.es
authors.forename: J
authors.initials: J
authors.lastname: Rocha
authors.forename: M
authors.initials: M
authors.lastname: Llabrés
authors.forename: R
authors.initials: R
authors.lastname: Alberich
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D001704:Biopolymers / Q000737:chemistry*; D019295:Computational Biology / Q000379:methods; D015233:Models, Statistical; D017433:Protein Structure, Secondary; D011506:Proteins / Q000737:chemistry*
chemical_list: D001704:Biopolymers; D011506:Proteins