Mapping of the Available Chemical Space versus the Chemical Universe of Lead-Like Compounds.

Abstract:

:This is, to our knowledge, the most comprehensive analysis to date based on generative topographic mapping (GTM) of fragment-like chemical space (40 million molecules with no more than 17 heavy atoms, both from the theoretically enumerated GDB-17 and real-world PubChem/ChEMBL databases). The challenge was to prove that a robust map of fragment-like chemical space can actually be built, in spite of a limited (≪105 ) maximal number of compounds ("frame set") usable for fitting the GTM manifold. An evolutionary map building strategy has been updated with a "coverage check" step, which discards manifolds failing to accommodate compounds outside the frame set. The evolved map has a good propensity to separate actives from inactives for more than 20 external structure-activity sets. It was proven to properly accommodate the entire collection of 40 m compounds. Next, it served as a library comparison tool to highlight biases of real-world molecules (PubChem and ChEMBL) versus the universe of all possible species represented by FDB-17, a fragment-like subset of GDB-17 containing 10 million molecules. Specific patterns, proper to some libraries and absent from others (diversity holes), were highlighted.

journal_name

ChemMedChem

journal_title

ChemMedChem

authors

Lin A,Horvath D,Afonina V,Marcou G,Reymond JL,Varnek A

doi

10.1002/cmdc.201700561

subject

Has Abstract

pub_date

2018-03-20 00:00:00

pages

540-554

issue

6

eissn

1860-7179

issn

1860-7187

journal_volume

13

pub_type

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