Constrained Shape Analysis with Applications to RNA Structure

Fuente: arXiv
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Main Authors: Mardia, Kanti V., Eltzner, Benjamin, Huckemann, Stephan F.
Format: Preprint
Published: 2025
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author Mardia, Kanti V.
Eltzner, Benjamin
Huckemann, Stephan F.
author_facet Mardia, Kanti V.
Eltzner, Benjamin
Huckemann, Stephan F.
contents In many applications of shape analysis, lengths between some landmarks are constrained. For instance, biomolecules often have some bond lengths and some bond angles constrained, and variation occurs only along unconstrained bonds and constrained bonds' torsions where the latter are conveniently modelled by dihedral angles. Our work has been motivated by low resolution biomolecular chain RNA where only some prominent atomic bonds can be well identified. Here, we propose a new modelling strategy for such constrained shape analysis starting with a product of polar coordinates (polypolars), where, due to constraints, for example, some radial coordinates should be omitted, leaving products of spheres (polyspheres). We give insight into these coordinates for particular cases such as five landmarks which are motivated by a practical RNA application. We also discuss distributions for polypolar coordinates and give a specific methodology with illustration when the constrained size-and-shape variables are concentrated. There are applications of this in clustering and we give some insight into a modified version of the MINT-AGE algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2502_16270
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Constrained Shape Analysis with Applications to RNA Structure
Mardia, Kanti V.
Eltzner, Benjamin
Huckemann, Stephan F.
Methodology
Computational Engineering, Finance, and Science
Biomolecules
In many applications of shape analysis, lengths between some landmarks are constrained. For instance, biomolecules often have some bond lengths and some bond angles constrained, and variation occurs only along unconstrained bonds and constrained bonds' torsions where the latter are conveniently modelled by dihedral angles. Our work has been motivated by low resolution biomolecular chain RNA where only some prominent atomic bonds can be well identified. Here, we propose a new modelling strategy for such constrained shape analysis starting with a product of polar coordinates (polypolars), where, due to constraints, for example, some radial coordinates should be omitted, leaving products of spheres (polyspheres). We give insight into these coordinates for particular cases such as five landmarks which are motivated by a practical RNA application. We also discuss distributions for polypolar coordinates and give a specific methodology with illustration when the constrained size-and-shape variables are concentrated. There are applications of this in clustering and we give some insight into a modified version of the MINT-AGE algorithm.
title Constrained Shape Analysis with Applications to RNA Structure
topic Methodology
Computational Engineering, Finance, and Science
Biomolecules
url https://arxiv.org/abs/2502.16270