Correction: Hybrid AI/physics pipeline for miniprotein binder prioritization: application to the BRD3 ET domain
Jokent Gaza, Monica J. Roth, Gaetano T. Montelione, Alberto Perez
TL;DR
This paper corrects an earlier study on using a hybrid AI and physics approach to prioritize miniprotein binders for the BRD3 ET domain.
Contribution
The correction addresses errors or updates in the original study's methodology or findings.
Findings
The correction clarifies or modifies the original results related to miniprotein binder prioritization.
It ensures the accuracy of the hybrid AI/physics pipeline application to the BRD3 ET domain.
Abstract
Correction for ‘Hybrid AI/physics pipeline for miniprotein binder prioritization: application to the BRD3 ET domain’ by Jokent Gaza et al., Chem. Commun., 2025, 61, 19028–19031, https://doi.org/10.1039/D5CC05032D.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsProtein Degradation and Inhibitors · Computational Drug Discovery Methods · Protein Structure and Dynamics