Generating three-dimensional genome structures with a variational quantum algorithm.

ABSTRACT: Chromosome conformation capture experiments have revealed the underlying spatial interactions that govern three-dimensional (3D) genome organization and topology. Detecting 3D contacts between genomic loci considerably enhances our understanding of fundamental regulatory processes. Modeling 3D structures from experimental contact matrices can further contextualize the relationship between 3D genome organization and regulation. While classical algorithms have been successful in reconstructing genomic conformations, we investigate the prospect of quantum computation to aid in modeling the conformational space. In this context, we propose a novel variational quantum algorithm (VQA) to model the distribution of 3D genomic structures from experimental contact data. Through rigorous evaluations,

SUBMITTER: Siciliano AJ 

PROVIDER: S-EPMC12704447 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature