EVRCEPT: Extracellular Vesicles Enrichment of RNA Cargo Prediction Tool

About EVERCPT

This tool allows users to predict the enrichment of RNAs in EVs based on its seqeunce features.

The tool uses a machine learning model trained on RNA sequences to predict whether an RNA is likely to be enriched in extracellular vesicles (EVs) or retained in cells. The tool also provides detailed features extracted from the RNA sequence, including length, GC and, AT percentages, secondary structure features, and nucleotide frequencies as well as RNA binding protein (RBP) motifs.

Resources:

• RNA binding protein motifs:   ATtRACT motifs
• RNA structure resources:   Vienna RNA, bpRNA
• Code:   Github

---

Cite

Abdelgawad, A., Huang, Y., Gololobova, O., Yu, Y., Witwer, K.W., Parashar, V. and Batish, M., 2025. Defining the Parameters for Sorting of RNA Cargo Into Extracellular Vesicles. Journal of Extracellular Vesicles, 14(7), p.e70113. (https://doi.org/10.1002/jev2.70113)