Article open access publication

Effects and limitations of a nucleobase-driven backmapping procedure for nucleic acids using steered molecular dynamics

Biochemical and Biophysical Research Communications, Elsevier, ISSN 1090-2104

Volume 498, 2, 2018

DOI:10.1016/j.bbrc.2017.12.057, Dimensions: pub.1099676250, PMID: 29248728,


* Corresponding author



  1. (1) International School for Advanced Studies, grid.5970.b
  2. (2) University of Copenhagen, grid.5254.6, KU







Coarse-grained models can be of great help to address the problem of structure prediction in nucleic acids. On one hand they can make the prediction more efficient, while on the other hand they can also help to identify the essential degrees of freedom and interactions for the description of a number of structures. With the aim to provide an all-atom representation in an explicit solvent to the predictions of our SPlit and conQueR (SPQR) coarse-grained model of RNA, we recently introduced a backmapping procedure which enforces the predicted structure into an atomistic one by means of steered molecular dynamics. These simulations minimize the ERMSD, a particular metric which deals exclusively with the relative arrangement of nucleobases, between the atomistic representation and the target structure. In this paper, we explore the effects of this approach on the resulting interaction networks and backbone conformations by applying it on a set of fragments using as a target their native structure. We find that the geometry of the target structures can be reliably recovered, with limitations in the regions with unpaired bases such as bulges. In addition, we observe that the folding pathway can also change depending on the parameters used in the definition of the ERMSD and the use of other metrics such as the RMSD.


Research Categories

Main Subject Area

Fields of Research

Links & Metrics

NORA University Profiles

University of Copenhagen

Danish Open Access Indicator

2018: Realized

Research area: Science & Technology

Danish Bibliometrics Indicator

2018: Level 1

Research area: Science & Technology

Dimensions Citation Indicators

Times Cited: 1

Field Citation Ratio (FCR): 0.43

Relative Citation ratio (RCR): 0.29

Open Access Info

Green, Submitted