Author:
Ali Zakir,Kukhta Teagan,Jhunjhunwala Ayush,Trant John F.,Sharma Purshotam
Abstract
Understanding the frequency and structural context of discrete noncovalent interactions between nucleotides is of pivotal significance in establishing the rules that govern RNA structure and dynamics. Although T-shaped contacts (i.e., perpendicular stacking contacts) between aromatic amino acids and nucleobases at the nucleic acid–protein interface have recently garnered attention, the analogous contacts within the nucleic acid structures have not been discussed. In this work, we have developed an automated method for identifying and unambiguously classifying T-shaped interactions between nucleobases. Using this method, we identified a total of 3261 instances of T-shaped (perpendicular stacking) contacts between two nucleobases in an array of RNA structures from an up-to-date data set of ≤3.5 Å resolution crystal structures deposited in the Protein Data Bank.
Funder
Department of Science and Technology
University Grants Commission
Department of Science and Technology (DST) and University Grants Commission (UGC), New Delhi
DST INSPIRE
UGC FRP
Natural Sciences and Engineering Research Council of Canada
UGC for a Senior Research Fellowship
Publisher
Cold Spring Harbor Laboratory