Scaffold‐Based Libraries Versus Make‐on‐Demand Space: A Comparative Assessment of Chemical Content
Chemical libraries are essential in drug discovery, providing a vast variety of compounds for screening and exploration. Previously, through collective efforts of chemoinformaticians and chemists, the group has created two libraries: the essential eIMS containing 578 in-stock compounds on plates ready for high throughput screening and a companion virtual library vIMS, containing 821.069 compounds derived from the scaffolds of the eIMS compounds, and decorated with substituents from customized collection of R-groups. In this article, validation of this library design approach is aimed, which is built on scaffold-based structuring and decoration guided by chemists' expertise. Specifically, its effectiveness is evaluated in comparison to the widely adopted reaction- and building block-based approach. Using Enamine REAL Space library, two scaffold-focused datasets are developed and the make-on-demand chemical space containing the same scaffolds are systematically compared. The results showed similarity between the two, but with limited strict overlap. Interestingly, a significant portion of the R-groups are not identified as such in the make-on-demand library. Synthetic accessibility analysis of the compound sets indicated overall low to moderate synthetic difficulty. These findings confirm the value of the scaffold-based method for generating focused libraries, offering high potential for lead optimization in drug discovery.
Authors
- Esther Kellenberger (ORCID: https://orcid.org/0000-0002-9320-4840)
- Frédéric Bihel (ORCID: https://orcid.org/0000-0002-4122-0929)
- Teodora Djikić (ORCID: https://orcid.org/0000-0002-6577-7465)
- Guillaume Bret (ORCID: https://orcid.org/0000-0001-5434-0906)
- Linh T. Bui (ORCID: https://orcid.org/0000-0003-3152-8978)
Institutions
- Laboratoire d'Innovation Thérapeutique (FR)
Publication Details
- Journal
- ChemMedChem
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1002/cmdc.202500518
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- Agence Nationale de la Recherche
- Institut National de la Santé et de la Recherche Médicale
- Université de Strasbourg
- Centre National de la Recherche Scientifique