Abstract:
:We present the application of the generative topographic map algorithm to visualize the chemical space populated by natural products and synthetic drugs. Generative topographic maps may be used for nonlinear dimensionality reduction and probabilistic modeling. For compound mapping, we represented the molecules by two-dimensional pharmacophore features (chemically advanced template search descriptor). The results obtained suggest a close resemblance of synthetic drugs with natural products in terms of their pharmacophore features, despite pronounced differences in chemical structure. Generative topographic map-based cluster analysis revealed both known and new potential activities of natural products and drug-like compounds. We conclude that the generative topographic map method is suitable for inferring functional similarities between these two classes of compounds and predicting macromolecular targets of natural products.
journal_name
Planta Medjournal_title
Planta medicaauthors
Miyao T,Reker D,Schneider P,Funatsu K,Schneider Gdoi
10.1055/s-0034-1396322subject
Has Abstractpub_date
2015-04-01 00:00:00pages
429-35issue
6eissn
0032-0943issn
1439-0221journal_volume
81pub_type
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