Work

NuFold RNA Structure Database: Large-Scale RNA Tertiary Structure Prediction with Confidence Metrics

Year: 2026

Type: preprint

Abstract: Summary: To bridge the gap between rapid RNA sequence discovery and slow experimental characterization, we present the NuFold RNA Structure Database ( https://nufold.kiharalab.org/ ), a resource providing large-scale, precomputed full-atom RNA tertiary structures. By removing the computational barriers associated with running the method locally, this database makes high-accuracy RNA structure models readily accessible to the biological research community for a wide range of applications. Availability and implementation: All predicted structures and corresponding data are available at https://nufold.kiharalab.org/ . The source code for the NuFold program is available at https://github.com/kiharalab/NuFold . Supplementary Information: For more insight into resulting statistics gathered for this project, see https://nufold.kiharalab.org/statistics . For more insight into how to utilize the webserver itself, see https://nufold.kiharalab.org/faq and https://nufold.kiharalab.org/tutorial .

Source: bioRxiv (Cold Spring Harbor Laboratory)

DOI: 10.64898/2026.10.21.760778

Authors: David Platt, Yuki Kagaya, Daisuke Kihara

Institutions: University of Colorado Boulder, University of Colorado System, Purdue University West Lafayette

Language: English

Topic: RNA and protein synthesis mechanisms

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, National Institute of General Medical Sciences

Award: Building protein structure models for intermediate resolution cryo-electron microscopy maps