Replication Data for: Decoding the Enigma of RNA-Protein Recognition: Quantum Chemical Insights into Arginine Fork Motifs

View this record at source repository
Description:
This dataset includes all the computational input and output geometries used in the analyses for the paper. They are provided in an effort to simplify reanalysis or comparison in accordance with the values of open science.
Author(s):
Trant, John F.

Trant, John F.

0000-0002-4780-4968
Contributor(s):
Trant, John
Source Repository:
University of Windsor Dataverse
Series:
Trant Team Dataverse
Publisher(s):
Borealis
Access:
Public
URL:
https://doi.org/10.5683/SP3/JVLQ7J
Publication date:
2024-04-26
Subjects:
Medicine, Health and Life Sciences, Chemistry
Keywords:
protein, computational chemistry, Nucleic acid, computational structural biology, and arginine fork
Identifier:
https://doi.org/10.5683/SP3/JVLQ7J

Geospatial information

There is no geographic information available for this record.
Select geospatial feature(s) to view on map:
View this record at source repository
Note: Up to 1000 features for each file are displayed

Citation

APA Citation:
Trant, J. F. (2024). Replication Data for: Decoding the Enigma of RNA-Protein Recognition: Quantum Chemical Insights into Arginine Fork Motifs [Data set]. University of Windsor Dataverse. https://doi.org/10.5683/SP3/JVLQ7J
Citation copied to clipboard
Export to citation manager: