Untargeted Diversity-Oriented Synthesis for the Discovery of New Antitumor Agents: An Integrated Approach of Inverse Virtual Screening, Bioinformatics, and Omics for Target Deconvolution
Molecular diversity is one of the most pursued objectives in drug discovery, and diversity-oriented synthesis (DOS) perfectly responds to the achievement of this goal. In this paper, we describe a DOS approach applied to the antitumor field with the aim of identifying new anticancer structures and their associated targets. To accomplish this ambitious project, after an initial stage of phenotypic evaluation, we set up an integrated platform of inverse virtual screening (IVS), bioinformatics, and omics to predict the biological targets of the most promising compounds <b>31</b> and <b>63</b>. Several proteins emerged from this study, and the most interesting ones were assessed by biophysical and in cellulo experiments, leading to the validation of six targets involved in calcium regulation, endoplasmic reticulum stress, and apoptosis. This work allowed us to identify two hit compounds with an interesting antitumor mechanism, but principally, to validate our platform as a fruitful tool for untargeted DOS campaigns.
Authors
- Tania Ciaglia (ORCID: https://orcid.org/0000-0002-6592-4373)
- Aniello Schiano Moriello (ORCID: https://orcid.org/0000-0003-4165-6711)
- Carmine Ostacolo (ORCID: https://orcid.org/0000-0003-3715-8680)
- Marco Allarà (ORCID: https://orcid.org/0000-0002-4305-5760)
- Francesca Di Matteo (ORCID: https://orcid.org/0000-0002-9907-6472)
- Veronica Di Sarno (ORCID: https://orcid.org/0000-0002-1397-5240)
- Giuseppe Bifulco (ORCID: https://orcid.org/0000-0002-1788-5170)
- Vincenzo Vestuto (ORCID: https://orcid.org/0000-0002-3603-5526)
- Simona De Vita (ORCID: https://orcid.org/0000-0002-8203-3580)
- Simona Musella (ORCID: https://orcid.org/0000-0001-8312-4241)
- Isabel Gómez‐Monterrey (ORCID: https://orcid.org/0000-0001-6688-2606)
- Ester Colarusso (ORCID: https://orcid.org/0000-0002-4193-1659)
- Gerardina Smaldone (ORCID: https://orcid.org/0000-0003-1380-9717)
- Fabrizio Merciai (ORCID: https://orcid.org/0000-0002-2774-4697)
- Poulami Kumar
- Alessia Ligresti (ORCID: https://orcid.org/0000-0003-1787-3900)
- Alessia Bertamino (ORCID: https://orcid.org/0000-0002-5482-6276)
- Pietro Campiglia (ORCID: https://orcid.org/0000-0002-1069-2181)
- Eduardo Sommella (ORCID: https://orcid.org/0000-0001-8654-6431)
- Gianluigi Lauro (ORCID: https://orcid.org/0000-0001-5065-9717)
- Danila La Gioia
- Valeria Napolitano (ORCID: https://orcid.org/0000-0003-2328-2824)
- Maria Rosaria Miranda (ORCID: https://orcid.org/0009-0005-8296-1888)
Institutions
- University of Salerno (IT)
- Institute of Applied Science and Intelligent Systems (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Journal of Medicinal Chemistry
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1021/acs.jmedchem.5c01344
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero dell’Istruzione, dell’Università e della Ricerca
- European Regional Development Fund