CRANBERRY: A Coarse-grained RNA Model with Sugar Puckering and Noncanonical Base Pairing

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Authors: Yiheng Wu, Riccardo Alessandri, A. E. Coraor, Xiangda Peng, Pablo F. Zubieta, Korbinian Liebl, Cedric Salame, K. Ryan Trinh, Tobin R. Sosnick, Juan Pablo
Cited by: 1
References: 115

Abstract

We introduce a new coarse-grained model “CRANBERRY” that incorporates sugar puckering and non-canonical base pairing, two factors central to RNA structure and dynamics, yet rarely included in most coarse-grained models. Our model is parameterized through a contrastive divergence approach, combined with fine-tuning strategies to improve accuracy in generating disordered states, a feature that is critical for the accurate description of thermodynamics. This two-stage training procedure greatly enhances cooperative folding behavior. Due to these advances, CRANBERRY maintains native-like structures with RMSD distributions comparable in scale to those obtained with all-atom force fields. Furthermore, CRANBERRY exhibits better agreement with experimental data on stacking free energies and disordered structures measured by Small Angle X-ray Scattering. In addition, CRANBERRY undergoes repeated folding and unfolding transitions of the ggcGCAAgcc tetraloop, reaching a minimum RMSD of 1.4 Å from an initially extended strand. CRANBERRY predicts melting temperatures in agreement with experimental values, and with a greater cooperativity than all-atom predictions.

Fields of Study & Subjects

RNA and protein synthesis mechanisms Machine Learning in Materials Science Nanopore and Nanochannel Transport Studies

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
13 January 2026
Document type
Preprint