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Foundations of molecular similarity analysis

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Rather different computational approaches are successfully employed to search for novel active compounds. Among those are various similarity-based methods that sometimes use only simple molecular representations. The complexity of computational tools and molecular representations does not correlate with their success in virtual screening and in recognizing increasingly diverse structures having similar activity. Why is this so? Why do many different virtual screening methodologies frequently display equally good or poor performance on given compound classes? We attempt to shed light on these open issues through systematic qualitative and quantitative characterization of underlying structure-activity relationships. Some surprises are ahead and the news is good, at least for virtual screeners and medicinal chemists.

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Correspondence to Jürgen Bajorath.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Keywords

  • Active Compound
  • Poor Performance
  • Computational Approach
  • Similar Activity
  • Open Issue