Similarity Measures Using Genetic Algorithm for Searching Chemical DB - Abdelrahman Ali, Yahya Ali
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Similarity searching is a process to find compounds that are similar to a target compound, which is useful in discovering potential drugs.this study is to optimize weights of different similarity measures in data fusion for searching chemical database by applying genetic algorithm (GA).Comparisons of different coefficient fusions were carried out.Using combination with weights ranging between 0.0 and 1.0 generated by genetic algorithm, gave a better number of active than the non-weighted combination.

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Produktbeschreibung
Similarity searching is a process to find compounds that are similar to a target compound, which is useful in discovering potential drugs.this study is to optimize weights of different similarity measures in data fusion for searching chemical database by applying genetic algorithm (GA).Comparisons of different coefficient fusions were carried out.Using combination with weights ranging between 0.0 and 1.0 generated by genetic algorithm, gave a better number of active than the non-weighted combination.
Autorenporträt
PhD student research Sudan University of Science and Technology now.Faculty member and lecturer at the Najran University College of computer Science and information system IN Saudi Arabia.Head of Software Department, Sudan University of Science and Technology,Computer Center.Master of Science(Computer Science)University Technology Malaysia(UTM)2007