Explore RNA-Protein interactions.

RNPFind is a bioinformatics tool. It takes an RNA transcript as input and gives a list of RNA binding protein (RBP) binding sites on the transcript as output.

Various output formats for representing the binding sites is supported.


Use rnpfind as either a command line tool or through the webtool.

Command line tool

The full docs are available here, but a quick example for
installation and use is:

pip install rnpfind
rnpfind -f bed -o ./malat1-sites malat1

which installs rnpfind from the
PyPi respository, and then invokes the
program to generate binding sites for the gene malat1 in the bed file format
in the directory ./malat1-sites.

Note that the tool will download large data files upon first invocation (around
6.4 GB). If the memory footprint is too much for you, the web tool is probably
better for you.

Web tool

Visit the RNPFind website and the rest is pretty

How does it work?

RNPFind collects its data from three main databases:

Each database stores binding sites of RBPs deduced through various
methods, such as various experimental methods as well as computational methods.
RBPDB and ATTRACT provide binding site patterns for RBPs, so we scan the input
gene's sequence to deduce the binding sites. POSTAR stores experimentally
deduced binding sites for the transcriptome for all RBPs, so we simply query.


Enable recommended Git Hooks as follows:

git config --local core.hooksPath .githooks/

The above will run the following to ensure code consistency every time you

Also use fit-commit to ensure
consistent commit message style.

Steps for running the website

Use Python 3.8 or higher

Create a file called db.env (choose a db, username, and password):

# Set PostgreSQL credential env variables

Note: In the following commands, docker might need sudo prepended depending
on your setup.

Build the Docker image(s) if needed

docker-compose build

Run it

docker-compose up

Now you should be able to use rnpfind by navigating to localhost:80 (or the
public IP of your machine)

Once done, stop and remove by typing Ctrl+C or using docker-compose down


This tool was produced at iYLab at CMUQ to help both my molecular biology
research project as well as that of others in the lab. Originally a CLI tool
that needed to be installed on the user's computer, it was made into a webapp
later for ease of use and access.