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Query: UNIPROT:P08908 (5-HT1A)
5,574 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The automatic clustering of chemical compounds is an important branch of chemoinformatics. In this paper the Asymmetric Clustering Index (Aci) is proposed to assess how well an automatically created partition reflects the reference. The asymmetry allows for a distinction between the fixed reference and the numerically constructed partition. The introduced index is applied to evaluate the quality of hierarchical clustering procedures for 5-HT1A receptor ligands. We find that the most appropriate combination of parameters for the hierarchical clustering of compounds with a determined activity for this biological target is the Klekota Roth fingerprint combined with the complete linkage function and the Buser similarity metric.
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PMID:Asymmetric clustering index in a case study of 5-HT1A receptor ligands. 2501 51