4.7 Article

Topological classification of RNA structures

期刊

JOURNAL OF MOLECULAR BIOLOGY
卷 379, 期 4, 页码 900-911

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jmb.2008.04.033

关键词

secondary structure; pseudoknot; RNA folding; structure classification; topology

向作者/读者索取更多资源

We present a novel topological classification of RNA secondary structures with pseudoknots. It is based on the topological genus of the circular diagram associated to the RNA base-pair structure. The genus is a positive integer number whose value quantifies the topological complexity of the folded RNA structure. In such a representation, planar diagrams correspond to pure RNA secondary structures and have zero genus, whereas non-planar diagrams correspond to pseudoknotted structures and have higher genus. The topological genus allows for the definition of topological folding motifs, similar in spirit to those introduced and commonly used in protein folding. We analyze real RNA structures from the databases Worldwide Protein Data Bank and Pseudobase and classify them according to their topological genus. For simplicity, we limit our analysis by considering only Watson-Crick complementary base pairs and G-U wobble base pairs. We compare the results of our statistical survey with existing theoretical and numerical models. We also discuss possible applications of this classification and show how it can be used for identifying new RNA structural motifs. (C) 2008 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Biochemical Research Methods

Probing the binding affinity of amyloids to reduce toxicity of oligomers in diabetes

Mohamed Raef Smaoui, Henri Orland, Jerome Waldispuehl

BIOINFORMATICS (2015)

Article Mechanics

Effective Langevin equations for constrained stochastic processes

Satya N. Majumdar, Henri Orland

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2015)

Article Multidisciplinary Sciences

Absence of knots in known RNA structures

Cristian Micheletti, Marco Di Stefano, Henri Orland

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)

Article Biophysics

Phase Behavior of DNA in the Presence of DNA-Binding Proteins

Guillaume Le Treut, Francois Kepes, Henri Orland

BIOPHYSICAL JOURNAL (2016)

Article Chemistry, Physical

Ionic profiles close to dielectric discontinuities: Specific ion-surface interactions

Tomer Markovich, David Andelman, Henri Orland

JOURNAL OF CHEMICAL PHYSICS (2016)

Article Chemistry, Physical

Beyond Poisson-Boltzmann: Numerical Sampling of Charge Density Fluctuations

Frederic Poitevin, Marc Delarue, Henri Orland

JOURNAL OF PHYSICAL CHEMISTRY B (2016)

Editorial Material Biochemistry & Molecular Biology

The elusive quest for RNA knots

Aaron S. Burton, Marco Di Stefano, Niles Lehman, Henri Orland, Cristian Micheletti

RNA BIOLOGY (2016)

Article Chemistry, Physical

Coherent states formulation of polymer field theory

Xingkun Man, Kris T. Delaney, Michael C. Villet, Henri Orland, Glenn H. Fredrickson

JOURNAL OF CHEMICAL PHYSICS (2014)

Article Chemistry, Physical

Dynamics of polymers: A mean-field theory

Glenn H. Fredrickson, Henri Orland

JOURNAL OF CHEMICAL PHYSICS (2014)

Article Chemistry, Multidisciplinary

Modified Poisson-Boltzmann equations for characterizing biomolecular solvation

Patrice Koehl, Frederic Poitevin, Henri Orland, Marc Delarue

JOURNAL OF THEORETICAL & COMPUTATIONAL CHEMISTRY (2014)

Article Biochemistry & Molecular Biology

Numerical Encodings of Amino Acids in Multivariate Gaussian Modeling of Protein Multiple Sequence Alignments

Patrice Koehl, Henri Orland, Marc Delarue

MOLECULES (2019)

Review Virology

Analyzing the Geometry and Dynamics of Viral Structures: A Review of Computational Approaches Based on Alpha Shape Theory, Normal Mode Analysis, and Poisson-Boltzmann Theories

Yin-Chen Hsieh, Marc Delarue, Henri Orland, Patrice Koehl

Summary: The emergence of the COVID-19 pandemic has illustrated our vulnerability to novel viruses and zoonotic diseases. This paper reviews methods for analyzing structural information on large macromolecular systems and discusses three specific methods based on alpha shape theory, normal mode analyses, and modified Poisson-Boltzmann theories. Examples of their applications on the outer shells and structural proteins of the West Nile Virus are provided, demonstrating their compatibility with regular desktop computers.

VIRUSES-BASEL (2023)

Article Computer Science, Artificial Intelligence

Computing the Gromov-Wasserstein Distance between Two Surface Meshes Using Optimal Transport

Patrice Koehl, Marc Delarue, Henri Orland

Summary: The Gromov-Wasserstein (GW) formalism is a generalization of the optimal transport (OT) formalism for comparing distributions in different metric spaces. Fast techniques based on entropy regularization have been developed to solve approximate GW problems, but numerical convergence issues remain. To address this, we propose a novel strategy using methods from statistical physics to solve the discrete GW problem. We demonstrate the accuracy and automaticity of our approach in non-rigid registration of shapes and provide numerical evidence for the correlation between low-resolution, surface-based representation of proteins and atomistic models.

ALGORITHMS (2023)

Article Computer Science, Artificial Intelligence

A Physicist's View on Partial 3D Shape Matching

Patrice Koehl, Henri Orland

Summary: This algorithm computes nonrigid, possibly partial comparisons of shapes defined by unstructured triangulations of their surfaces. It finds a possibly partial correspondence between the vertices of two triangulations and measures the similarity of the shapes using a cost associated with this correspondence. The algorithm characterizes the vertices using signature vectors of features and computes the correspondence as the transport plan that solves the optimal transport or optimal partial transport problem between their sets of vertices using a statistical physics approach.

ALGORITHMS (2023)

Article Physics, Fluids & Plasmas

Classification and predictions of RNA pseudoknots based on topological invariants

Graziano Vernizzi, Henri Orland, A. Zee

PHYSICAL REVIEW E (2016)

Article Biochemistry & Molecular Biology

Mycobacterium tuberculosis Ku Stimulates Multi-round DNA Unwinding by UvrD1 Monomers

Ankita Chadda, Alexander G. Kozlov, Binh Nguyen, Timothy M. Lohman, Eric A. Galburt

Summary: In this study, it was found that the DNA damage response in Mycobacterium tuberculosis differs from well-studied model bacteria. The DNA repair helicase UvrD1 in Mtb is activated through a redox-dependent process and is closely associated with the homo-dimeric Ku protein. Additionally, Ku protein is shown to stimulate the helicase activity of UvrD1.

JOURNAL OF MOLECULAR BIOLOGY (2024)