CSM-lig is a machine-learning method to predict affinities of small-molecules to proteins, which relies
on distance/pharmacophore patterns encoded as graph-based signatures.
A user-friendly and freely accessible web interface was developed and allows users to submit either a single
PDB structure of the protein-small molecule complex, or a compressed file with multiple structures, which could
include different poses of the same complex, different ligands or multiple different proteins.
To run a prediction:
For a single molecule prediction, your results can be displayed as follows:
In case you experience any trouble using CSM-lig or have any suggestions or comments, please do not hesitate in contacting us either via e-mail or through the online form.