diff --git a/concha/contact_clustering.ipynb b/concha/contact_clustering.ipynb
index 8bd2a95ef34932173a54db84edd0072b97987647..6a317fbcea34b7d120c9dd31f380b7484e88d2d6 100644
--- a/concha/contact_clustering.ipynb
+++ b/concha/contact_clustering.ipynb
@@ -5,9 +5,9 @@
    "id": "bb55010f",
    "metadata": {},
    "source": [
-    "### CONCHA: Contact-based characterization of conformational ensembles of highly flexible proteins\n",
+    "### WARIO: Weighted fAmilies of contact maps to chaRacterize conformational ensembles of (highly-)flexIble prOteins\n",
     "\n",
-    "This is the Jupyter notebook implementing the pipeline that defines CONCHA. The notebook takes an ensemble as input, features its conformations using contact information and perform a clustering algorithm to retrieve the ensemble characterization. The user can follow the guidelines presented below to implement CONCHA step-by-step. First, the required libraries must be imported together with the experimental parameters that calibrate the contact function."
+    "This is the Jupyter notebook implementing the pipeline that defines WARIO. The notebook takes an ensemble as input, features its conformations using contact information and perform a clustering algorithm to retrieve the ensemble characterization. The user can follow the guidelines presented below to implement WARIO step-by-step. First, the required libraries must be imported together with the experimental parameters that calibrate the contact function."
    ]
   },
   {