Proteins are fundamental building blocks of all living organisms. They perform their function by binding to other molecules. This project deals with interactions between proteins and small molecules (so called ligands) because most of the currently used drugs are small molecules. While there are several tools that can predict these interactions, they are almost none for their visualization. Thus, we built a new visualization website by combining several protein visualizers together. Since evolutionary homology correlates with binding sites, our web interface also displays homology for comparison. We developed several ways how to calculate homology, and used it to improve detection of protein-ligand binding sites. Here we present PrankWeb, a modern web application for structure and sequence visualization of a protein and its protein-ligand binding sites as well as evolutionary homology. We hope that it will provide a quick and convenient way for scientists to analyze proteins.
PrankWeb is web interface based on P2Rank standalone method . For batch-processing, it is recommended to download standalone version of P2Rank and run experiments locally.
PrankWeb classification model has been trained and validated on publicly available datasets . They are available at
If you use P2Rank online service, please cite:
Faculty of Mathematics and Physics, Charles University
Luxembourg Centre for Systems Biomedicine, University of Luxembourg
david.hoksza (at) mff.cuni.cz
Faculty of Mathematics and Physics, Charles University
Department of Computer Science, ETH Zurich
lukas.jendele(at)gmail.com
Faculty of Mathematics and Physics, Charles University
rkrivak (at) gmail.com
Faculty of Science, Charles University
marian.novotny (at) natur.cuni.cz
PrankWeb is a part of services provided by ELIXIR – European research infrastructure for biological information.
See services provided ELIXIR's Czech Republic Node .
PrankWeb, Charles University 2017-2020