diff --git a/ippisite/ippidb/templates/targetcentric.html b/ippisite/ippidb/templates/targetcentric.html
index 6f5ffb20fc93c62c999ed9fdd51328bca0c5b4c9..81e1126fdc7531add4c47f27ef131c5a59b50855 100644
--- a/ippisite/ippidb/templates/targetcentric.html
+++ b/ippisite/ippidb/templates/targetcentric.html
@@ -177,17 +177,14 @@
                         <div class="mb-3 card {% if forloop.counter == 1 %} border-primary {% else %} border-info {% endif %} border_card"
                             id="card_{{ forloop.counter }}">
                             <div class="card-header text-center">
-                                <a class="submithref" href="{% url 'cavities' %}?pdbsearch={{ pdb.code }}"><strong>{{
-                                        pdb.code }}</strong></a>
+                                <a class="submithref" href="{% url 'cavities' %}?pdbsearch={{ pdb.code }}"><strong>{{ pdb.code }}</strong></a>
                             </div>
                             <div class="card-body text-nowrap">
                                 {% for chain in pdb.chain_set.all %}
                                 Chain {{ chain.pdb_chain_id }} <a class="submithref"
-                                    href="{% url 'cavities' %}?uniprotid={{ chain.protein.uniprot_id }}">{{
-                                    chain.protein.uniprot_id }}</a>
+                                    href="{% url 'cavities' %}?uniprotid={{ chain.protein.uniprot_id }}">{{ chain.protein.uniprot_id }}</a>
                                 <a class="submithref"
-                                    href="{% url 'cavities' %}?organism={{ chain.protein.organism.name }}">{{
-                                    chain.protein.organism.name }}</a>
+                                    href="{% url 'cavities' %}?organism={{ chain.protein.organism.name }}">{{ chain.protein.organism.name }}</a>
                                 </br>
                                 {% endfor %}
                             </div>
@@ -266,8 +263,7 @@ Comparison and druggability prediction of protein-ligand binding sites from phar
                                         <tr>
                                             {% for td in avg_std|make_list %}
                                             {% if forloop.first %}
-                                            <td style="background-color:rgb({{ td|get_color }})" title="{{ td }}">{{
-                                                td|floatformat:2|intcomma }}</td>
+                                            <td style="background-color:rgb({{ td|get_color }})" title="{{ td }}">{{ td|floatformat:2|intcomma }}</td>
                                             {% elif forloop.last %}
                                             <td style="direction: rtl;background-color:rgb({{ td|get_color }})"
                                                 title="{{ td }}">{{ td|floatformat:2|intcomma }}</td>
diff --git a/ippisite/ippidb/templates/tutorials.html b/ippisite/ippidb/templates/tutorials.html
index bd4de8bd2a62120b7de9e9082dd0bdc10891e18f..881134343fb41a6d68f5e2001b37e319a5837a5d 100644
--- a/ippisite/ippidb/templates/tutorials.html
+++ b/ippisite/ippidb/templates/tutorials.html
@@ -49,7 +49,20 @@
 										allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"
 										allowfullscreen></iframe>
 									<div class="card-body">
-										<p class="card-text">Visualize pockets on the Protein Interaction Explorer.</p>
+										<p class="card-text">
+											This tutorial guides the user on how to:
+										<ul>
+											<li>navigate and
+												access the Protein Interaction Explorer (PIE) section of the IPPIDB
+												web-server</li>
+											<li>view list of PIE functionalities</li>
+											<li>display all available pockets in PIE as an “Overview” list</li>
+											<li>search for any protein they want to visualize</li>
+											<li>open the PIE 3D viewer to display the protein chains and associated
+												pockets</li>
+											<li>move/zoom 3D structures on the viewer</li>
+										</ul>
+										</p>
 									</div>
 								</div>
 							</div>
@@ -68,7 +81,7 @@
 
 										<p class="card-text">A short video that shows how you can efficiently add new
 											data
-											to iPPI-DB using the contribute mode and your ORCID ID</p>
+											to iPPI-DB using the contribute mode and your ORCID ID.</p>
 									</div>
 								</div>
 							</div>
@@ -84,8 +97,26 @@
 										allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"
 										allowfullscreen></iframe>
 									<div class="card-body">
-										<p class="card-text">Analyze druggability / interactibility of proteins on the
-											Protein Interaction Explorer.</p>
+										<p class="card-text">This tutorial shows how to use the PIE (Protein Interaction
+											Explorer) 3D viewer to:
+										<ul>
+											<li>display and scale druggability prediction scores by InDeep<sup>*</sup>
+												<strong>and superpose them on the 3D protein
+													structures
+											</li>
+											<li>display and
+												scale InDeep<sup>*</sup></strong>predicted interactibility scores
+												superposed on 3D protein
+												structures</li>
+										</ul>
+										</p>
+										<p class="card-text"><sup>*</sup><small>Indeep: V. Mallet, L. Ruano, A. Franel,
+												M. Nilges, K.
+												Druart,
+												G.Bouvier, O.Sperandio, InDeep: 3D fully convolutional neural networks
+												to assist in silico drug design on protein-protein interactions,
+												Bioinformatics, Volume 38, Issue 5, March 2022, Pages 1261-1268</small>
+										</p>
 									</div>
 								</div>
 							</div>
@@ -106,8 +137,15 @@
 										allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"
 										allowfullscreen></iframe>
 									<div class="card-body">
-										<p class="card-text">Visualize hotspots and ligands on the Protein Interaction
-											Explorer.</p>
+										<p class="card-text">This tutorial shows how to use the PIE (Protein Interaction
+											Explorer) 3D viewer to:
+										<ul>
+											<li>visualize hotspots detected by FoldX for a protein complex</li>
+											<li>visualize ligands superposed with chains of related
+												proteins</li>
+											<li>show colocalization of ligands with predicted hot spots</li>
+										</ul>
+										</p>
 									</div>
 								</div>
 							</div>
@@ -128,8 +166,17 @@
 										allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"
 										allowfullscreen></iframe>
 									<div class="card-body">
-										<p class="card-text">Study closely related pockets on the Protein Interaction
-											Explorer.</p>
+										<p class="card-text">This tutorial shows how one can:
+										<ul>
+											<li>explore the “Pockets” section of the PIE</li>
+											<li>for a given pocket on a displayed protein, display list of all similar
+												pockets from the iPPI-DB database</li>
+											<li>display PSI metric (Pocket Similarity Index) for all the pockets with
+												respect to the given pocket</li>
+											<li>display list of physio-chemical descriptors for all the “similar”
+												pockets</li>
+										</ul>
+										</p>
 									</div>
 								</div>
 							</div>
@@ -149,7 +196,19 @@
 										allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture"
 										allowfullscreen></iframe>
 									<div class="card-body">
-										<p class="card-text">How to use the TMAP on the Protein Interaction Explorer.
+										<p class="card-text">
+											This tutorial shows how to:
+										<ul>
+											<li>access and use the TMAP
+												(pocketome) feature of PIE (Protein Interaction Explorer)</li>
+											<li>Use the “Chart Help” feature to learn how to navigate the TMAP</li>
+											<li>meaning of different criteria or legends which can be viewed on TMAP
+											</li>
+											<li>color code TMAP with different criteria</li>
+											<li>search and query information for a complex via TMAP window</li>
+											<li>format the names of HD (heterodimer) and PL (protein-ligand) pockets
+											</li>
+										</ul>
 										</p>
 									</div>
 								</div>