Chemography of natural product space.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Miyao, T; Reker, D; Schneider, P; Funatsu, K; Schneider, G

Published Date

  • April 2015

Published In

Volume / Issue

  • 81 / 6

Start / End Page

  • 429 - 435

PubMed ID

  • 25719940

Electronic International Standard Serial Number (EISSN)

  • 1439-0221

International Standard Serial Number (ISSN)

  • 0032-0943

Digital Object Identifier (DOI)

  • 10.1055/s-0034-1396322

Language

  • eng