@article{(Open Science Index):https://publications.waset.org/pdf/10920,
	  title     = {New Graph Similarity Measurements based on Isomorphic and Nonisomorphic Data Fusion and their Use in the Prediction of the Pharmacological Behavior of Drugs },
	  author    = {Irene Luque Ruiz and  Manuel Urbano Cuadrado and  Miguel Ángel Gómez-Nieto},
	  country	= {},
	  institution	= {},
	  abstract     = {New graph similarity methods have been proposed in this work with the aim to refining the chemical information extracted from molecules matching. For this purpose, data fusion of the isomorphic and nonisomorphic subgraphs into a new similarity measure, the Approximate Similarity, was carried out by several approaches. The application of the proposed method to the development of quantitative structure-activity relationships (QSAR) has provided reliable tools for predicting several pharmacological parameters: binding of steroids to the globulin-corticosteroid receptor, the activity of benzodiazepine receptor compounds, and the blood brain barrier permeability. Acceptable results were obtained for the models presented here.
},
	    journal   = {International Journal of Pharmacological and Pharmaceutical Sciences},
	  volume    = {1},
	  number    = {2},
	  year      = {2007},
	  pages     = {47 - 51},
	  ee        = {https://publications.waset.org/pdf/10920},
	  url   	= {https://publications.waset.org/vol/2},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 2, 2007},
	}