AdmirePred: Home Page

HOPPred

Welcome to AdmirePred
A webserver for predicting abundant miRNAs in exosomes

Exosomal miRNAs, small non-coding RNA molecules in exosomes, are key in cell communication and have disease diagnostic and therapeutic implications through genetic information transfer. AdmirePred is a tool classifying exosomal and non-exosomal miRNA sequences to enhance exosomal research.

Reference: Arora A and Raghava GPS (2025) AdmirePred: A method for predicting abundant miRNAs in Exosomes. BioRxiv doi.org/10.1101/2025.03.19.644072.

Predict

This module allows the user to predict whether the query miRNA is exosomal or not based on its nucleotide sequence. This prediction can be done using either ML only model (Extra Tree Classifier) or hybrid model (ML + BLAST), as selected by the user.

Design

This module facilitates the user to design the exosomal miRNA sequences. It produces a number of mutant miRNA sequences from the query sequences given by the user and also predicts which of those mutants will be exosomal miRNA based on the selected model.

BLAST

This module hits the submitted sequences against the custom database generated using AdmirePred datasets. The miRNA sequence will be assigned as exosomal if the hit is found against an already known exosomal miRNA sequence, else non-exosomal.

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