| Literature DB >> 33797909 |
Kexin Zhang1, Kyrillos Abdallah2, Pujan Ajmera2, Kyle Finos2, Andrew Looka2, Joseph Mekhael2, Aaron T Frank2.
Abstract
Here, we introduce CS-Annotate, a tool that uses assigned NMR chemical shifts to annotate structural features in RNA. At its core, CS-Annotate is a deployment of a multitask deep learning model that simultaneously classifies the solvent exposure, base-stacking and -pairing status, and conformation of individual RNA residues from their chemical shift fingerprint. Here, we briefly describe how we trained and tested the classifier and demonstrate its application to a model RNA system. CS-Annotate can be accessed via the SMALTR (Structure-based MAchine Learning Tools for RNA) Science Gateway (smaltr.org).Year: 2021 PMID: 33797909 DOI: 10.1021/acs.jcim.1c00006
Source DB: PubMed Journal: J Chem Inf Model ISSN: 1549-9596 Impact factor: 4.956