Abstract:
:Many methods have been developed to capture the biological similarity between two compounds for use in drug discovery. A variety of similarity metrics have been introduced, the Tanimoto coefficient being the most prominent. Many of the approaches assume that molecular features or descriptors that do not relate to the biological activity carry the same weight as the important aspects in terms of biological similarity. Herein, a novel similarity searching approach using a Bayesian inference network is discussed. Similarity searching is regarded as an inference or evidential reasoning process in which the probability that a given compound has biological similarity with the query is estimated and used as evidence. Our experiments demonstrate that the similarity approach based on Bayesian inference networks is likely to outperform the Tanimoto similarity search and offer a promising alternative to existing similarity search approaches.
journal_name
ChemMedChemjournal_title
ChemMedChemauthors
Abdo A,Salim Ndoi
10.1002/cmdc.200800290subject
Has Abstractpub_date
2009-02-01 00:00:00pages
210-8issue
2eissn
1860-7179issn
1860-7187journal_volume
4pub_type
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