Virtual screening and molecular dynamics identify sulfonamide indole analogs as candidate CBP bromodomain binders

Abstract Epigenetic dysregulation, particularly via bromodomain-mediated recognition of histone acetylation, drives oncogenic gene expression in cancers, including prostate and acute myeloid leukemia, positioning the CREB-binding protein (CBP) bromodomain as a key therapeutic target for disrupting pro-proliferative programs without genetic alteration. While inhibitors like CCS1477 advance clinically, challenges in selectivity over BET paralogs and ligand efficiency persist (Conery et al., 2023; Urano et al., 2020). Here, we employed a computational pipeline starting from the YF2-23 co-crystal (PDB: 7JUO) to derive a sulfonamide-indole pharmacophore for PubChem screening, retrieving 392 analogs rescored by molecular docking simulation in the hinge pocket (Asp1116-Tyr1125). Top hits from this virtual screening campaign advanced to 1 µs MD simulations (duplicate replicates), revealing CID135236309's exceptional stability versus CID135236185 and CID66966190's steric issues. MM-GBSA on final 10 ns trajectories yielded binding free energy values of -34.98, -32.97, and − 25.60 kcal/mol, respectively, against YF2-23's -37.26 kcal/mol, with electrostatics underscoring the lead's hinge triad potency (Genheden and Ryde, 2015). This workflow nominates CID135236309 as a selective CBP lead for synthesis and validation, advancing epigenetic drug design.

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Publication Details

Journal
Discover Chemistry.
Published
2026-11-06
DOI
https://doi.org/10.1007/s44371-026-01075-9
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Virtual screening and molecular dynamics identify sulfonamide indole analogs as candidate CBP bromodomain binders

Rofiat Oluwabusola Adeyemi, Abdul-Quddus Kehinde Oyedele, Abdeen Tunde Ogunlana, Joshua Adekeye et al.
1 links
Discover Chemistry.
Computational Drug Discovery Methods
article

Virtual screening and molecular dynamics identify sulfonamide indole analogs as candidate CBP bromodomain binders

Rofiat Oluwabusola Adeyemi, Abdul-Quddus Kehinde Oyedele, Abdeen Tunde Ogunlana, Joshua Adekeye, Stephen Awuku, Adeyemi Ogunbowale, Olajide Enoch Aderemi, Amena Khatun Manica, Pruthvirajsinh Rajendrasinh Solanki, Bernard Opeyemi Adedeji, Abraham Olayeri, Zacheaus M. Akinpelu, Theophilus Tolulope Fayinka, Malik Olaide Rabiu
article en

Abstract

Abstract Epigenetic dysregulation, particularly via bromodomain-mediated recognition of histone acetylation, drives oncogenic gene expression in cancers, including prostate and acute myeloid leukemia, positioning the CREB-binding protein (CBP) bromodomain as a key therapeutic target for disrupting pro-proliferative programs without genetic alteration. While inhibitors like CCS1477 advance clinically, challenges in selectivity over BET paralogs and ligand efficiency persist (Conery et al., 2023; Urano et al., 2020). Here, we employed a computational pipeline starting from the YF2-23 co-crystal (PDB: 7JUO) to derive a sulfonamide-indole pharmacophore for PubChem screening, retrieving 392 analogs rescored by molecular docking simulation in the hinge pocket (Asp1116-Tyr1125). Top hits from this virtual screening campaign advanced to 1 µs MD simulations (duplicate replicates), revealing CID135236309's exceptional stability versus CID135236185 and CID66966190's steric issues. MM-GBSA on final 10 ns trajectories yielded binding free energy values of -34.98, -32.97, and − 25.60 kcal/mol, respectively, against YF2-23's -37.26 kcal/mol, with electrostatics underscoring the lead's hinge triad potency (Genheden and Ryde, 2015). This workflow nominates CID135236309 as a selective CBP lead for synthesis and validation, advancing epigenetic drug design.

Discover Chemistry.Vol. 3(1)
Texas Tech University (US), University of West London (GB), University of Lagos (NG), University of South Florida (US), University of New Haven (US), VA North Texas Health Care System (US), Dallas VA Medical Center (US), Federal University of Health Sciences, Ila-Orangun (NG), Tennessee Technological University (US)
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Computational Drug Discovery Methods
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