Literature DB >> 10761131

Similarity searching in files of three-dimensional chemical structures: analysis of the BIOSTER database using two-dimensional fingerprints and molecular field descriptors

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Abstract

This paper compares the effectiveness of similarity measures based on two-dimensional fingerprints and on molecular fields for identifying pairs of bioisosteric molecules in the BIOSTER database. The results suggest that the two types of descriptor are complementary in nature, each finding some bioisosteric pairs that are not found by the other. This conclusion is confirmed by studies of groups of BIOSTER molecules that share the same activity characteristics, and by experiments that involve combining the two types of similarity measure.

Year:  2000        PMID: 10761131     DOI: 10.1021/ci990263g

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  6 in total

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4.  CFam: a chemical families database based on iterative selection of functional seeds and seed-directed compound clustering.

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5.  A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction.

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6.  LINGO-DL: a text-based approach for molecular similarity searching.

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  6 in total

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