From the journal:

Chemical Communications

Correction: Hybrid AI/physics pipeline for miniprotein binder prioritization: application to the BRD3 ET domain

Jokent Gaza, ORCID logo ab   Monica J. Roth, ORCID logo c   Gaetano T. Montelione ORCID logo de  and  Alberto Perez ORCID logo *ab  

* Corresponding authors

a Department of Chemistry, University of Florida, Gainesville, Florida 32611, USA
E-mail: perez@chem.ufl.edu

b Quantum Theory Project, University of Florida, Gainesville, Florida 32611, USA

c Department of Pharmacology, Rutgers-Robert Wood Johnson Medical School, 675 Hoes Lane Rm 636, Piscataway, NJ 08854, USA

d Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York, USA

e Department of Chemistry and Chemical Biology, Rensselaer Polytechnic Institute, Troy, New York, USA

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.

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Article information

DOI
https://doi.org/10.1039/D5CC90427G
Article type
Correction
Submitted
22 Dec 2025
Accepted
22 Dec 2025
First published
13 Jan 2026
This article is Open Access
Creative Commons BY license

Chem. Commun., 2026, Advance Article

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Correction: Hybrid AI/physics pipeline for miniprotein binder prioritization: application to the BRD3 ET domain

J. Gaza, M. J. Roth, G. T. Montelione and A. Perez, Chem. Commun., 2026, Advance Article , DOI: 10.1039/D5CC90427G

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