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Dataset Information

Sampling and Mapping Chemical Space with Extended Similarity Indices.


ABSTRACT: Visualization of the chemical space is useful in many aspects of chemistry, including compound library design, diversity analysis, and exploring structure-property relationships, to name a few. Examples of notable research areas where the visualization of chemical space has strong applications are drug discovery and natural product research. However, the sheer volume of even comparatively small sub-sections of chemical space implies that we need to use approximations at the time of navigating through chemical space. ChemMaps is a visualization methodology that approximates the distribution of compounds in large datasets based on the selection of satellite compounds that yield a similar mapping of the whole dataset when principal component analysis on a similarity matrix is performed. Here,

SUBMITTER: Lopez-Perez K 

PROVIDER: S-EPMC10489020 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature