diff --git a/software/index.md b/software/index.md
index d7768133..45e1fc6b 100644
--- a/software/index.md
+++ b/software/index.md
@@ -7,11 +7,16 @@ image:
   feature: pages/banner_software.jpg
 ---
 
-This page provide you links to software and software manuals of the computational structural biology group.
+This page provide you links to software, web services and datasets of the computational structural biology group.
 
 * table of contents
 {:toc}
 
+<HR>
+### WEB PORTAL
+  All software offered as web service can be access from our web portal at:
+   
+   * [**wenmr.science.uu.nl**](https://wenmr.science.uu.nl){:target="_blank"}
 
 <HR>
 ### HADDOCK
@@ -19,88 +24,94 @@ This page provide you links to software and software manuals of the computationa
   
   * [**HADDOCK best practice guide**](/software/bpg) - A must read when starting to use our software!
   
-  * [**HADDOCK2.4/5 software**](/software/haddock2.4/) - Official 2.4/5 production version
+  * [**HADDOCK2.5 software**](/software/haddock2.5/) - Official 2.5 production version
 
-  * [**HADDOCK2.4 web server**](https://wenmr.science.uu.nl/haddock2.4/) - production version
+  * [**HADDOCK2.4 web server**](https://wenmr.science.uu.nl/haddock2.4/){:target="_blank"} - production version (running the 2.5 version of HADDOCK in background)
   
-  * [**HADDOCK3 software**](/software/haddock3) - A new, very experimental [BioExcel](https://www.bioexcel.eu) redesign of HADDOCK in a modular code. Use it at your own risk!
+  * [**HADDOCK3 software**](/software/haddock3) - A [BioExcel](https://www.bioexcel.eu){:target="_blank"} redesign of HADDOCK in a modular code. Still in beta release.
 
 <HR>
 ### [HADDOCKING GitHub repository](https://github.com/haddocking)
   The GitHub repository for HADDOCK and its associated tools
 
-  * [**Arctic-3D**](https://github.com/haddocking/arctic3d):
-  ARCTIC-3D is a software for data-mining and clustering of protein interface information. It allows you to retrieve all the existing interface information for your desired protein from the [PDBE graph database](https://www.ebi.ac.uk/pdbe/pdbe-kb/), grouping similar interfaces in interacting surfaces.
+  * [**Arctic-3D**](https://github.com/haddocking/arctic3d){:target="_blank"}:
+    ARCTIC-3D is a software for data-mining and clustering of protein interface information. 
+    It allows you to retrieve all the existing interface information for your desired protein from 
+    the [PDBE graph database](https://www.ebi.ac.uk/pdbe/pdbe-kb/){:target="_blank"}, grouping similar interfaces in interacting surfaces.<br>
+    Also available as **[web service](https://wenmr.science.uu.nl/arctic3d){:target="_blank"}**
+
+  * [**Binding_affinity: PRODIGY**](https://github.com/haddocking/binding_affinity){:target="_blank"}:
+    A collection of Python scripts to predict the binding affinity in protein-protein complexes.<br>
+    Also available as **[web service](https://wenmr.science.uu.nl/prodigy){:target="_blank"}**
 
-  * [**Binding_affinity: PRODIGY**](https://github.com/haddocking/binding_affinity):
-  A collection of Python scripts to predict the binding affinity in protein-protein complexes.
+  * [**DisVis**](https://github.com/haddocking/disvis){:target="_blank"}:
+    A Python package and command-line tool to quantify and visualize the accessible interaction space of distance-restrained biomolecular complexes.<br>
+    Also available as **[web service](https://wenmr.science.uu.nl/disvis){:target="_blank"}**
 
-  * [**DisVis**](https://github.com/haddocking/disvis):
-  A Python package and command-line tool to quantify and visualize the accessible interaction space of distance-restrained biomolecular complexes.
+  * [**Fraction of common contact clustering**](https://github.com/haddocking/fcc){:target="_blank"}:
+    Clustering of biomolecular complexes based on the fraction of common contacts
 
-  * [**Fraction of common contact clustering**](https://github.com/haddocking/fcc):
-  Clustering of biomolecular complexes based on the fraction of common contacts
+  * [**HADDOCK-tools**](https://github.com/haddocking/haddock-tools){:target="_blank"}:
+    A collection of useful scripts related to HADDOCK
 
-  * [**HADDOCK-tools**](https://github.com/haddocking/haddock-tools):
-  A collection of useful scripts related to HADDOCK
+  * [**PDB-tools**](https://github.com/haddocking/pdb-tools){:target="_blank"}:
+    A collection of Python scripts for the manipulation (renumbering, changing chain and segIDs...) of PDB files.
+    For documentation refer to [https://www.bonvinlab.org/pdb-tools/](https://www.bonvinlab.org/pdb-tools/){:target="_blank"}.<br>
+    Also available as **[web service](https://wenmr.science.uu.nl/pdbtools){:target="_blank"}**
 
-  * [**PDB-tools**](https://github.com/haddocking/pdb-tools):
-  A collection of Python scripts for the manipulation (renumbering, changing chain and segIDs...) of PDB files.
-  For documentation refer to [https://www.bonvinlab.org/pdb-tools/](https://www.bonvinlab.org/pdb-tools/).
-  And now also available as [web portal](https://wenmr.science.uu.nl/pdbtools)!
+  * [**PowerFit**](https://github.com/haddocking/powerfit){:target="_blank"}:
+    PowerFit is a Python package and simple command-line program to automatically fit high-resolution atomic structures in cryo-EM densities.<br>
+    Also available as **[web service](https://alcazar.science.uu.nl/services/POWERFIT){:target="_blank"}**
 
-  * [**PowerFit**](https://github.com/haddocking/powerfit):
-  PowerFit is a Python package and simple command-line program to automatically fit high-resolution atomic structures in cryo-EM densities.
+  * [**Samplex**](https://github.com/haddocking/samplex){:target="_blank"}:
+    Samplex is an automatic and unbiased method to distinguish perturbed and unperturbed regions in a protein existing 
+    in two distinct states (folded/partially unfolded, bound/unbound). Samplex takes as input a set of data and the corresponding 
+    3D structure and returns the confidence for each residue to be in a perturbed or unperturbed state.
 
-  * [**Samplex**](https://github.com/haddocking/samplex):
-  Samplex is an automatic and unbiased method to distinguish perturbed and unperturbed regions in a protein existing in two distinct states (folded/partially unfolded, bound/unbound). Samplex takes as input a set of data and the corresponding three-dimensional structure and returns the confidence for each residue to be in a perturbed or unperturbed state.
+  * [**WHISCY**](https://github.com/haddocking/whiscy){:target="_blank"}:
+    WHISCY is a program to predict protein-protein interfaces. It is primarily based on conservation, 
+    but it also takes into account structural information.<br>
+    Also available as **[web service](https://wenmr.science.uu.nl/whiscy){:target="_blank"}**
 
 <HR>
 ### 3D-DART DNA modelling
   3D-DART provides a convenient means of generating custom structural models of DNA. Our server is no longer in operation because of security issues, but you can run it yourself from a docker container. Visit for this our GitHub repo below.
 
-  * [**3D-DART**](https://github.com/haddocking/3D-DART-server/)
-
-<HR>
-### Bioinformatics interface predictors
-
-  * [**WHISCY**](https://nmr.chem.uu.nl/Software/whiscy/index.html)
-  WHISCY is a program to predict protein-protein interfaces. It is primarily based on conservation, but it also takes into account structural information.
-
-  * [**CPORT**](https://alcazar.science.uu.nl/services/CPORT)
-  CPORT is an algorithm for the prediction of protein-protein interface residues. It combines six interface prediction methods into a consensus predictor
+  * [**3D-DART**](https://github.com/haddocking/3D-DART-server/){:target="_blank"}
 
 <HR>
 ### Deep learning protein interactions
 
-  * [**DeepRank**](https://github.com/DeepRank/deeprank)
+  * [**DeepRank**](https://github.com/DeepRank/deeprank){:target="_blank"}
   DeepRank is a general, configurable deep learning framework for data mining protein-protein interactions (PPIs) using 3D convolutional neural networks (CNNs).
   
-  * [**DeepRank-GNN**](https://github.com/DeepRank/Deeprank-GNN)
+  * [**DeepRank-GNN**](https://github.com/DeepRank/Deeprank-GNN){:target="_blank"}
   DeepRank-GNN is a general, configurable deep learning framework for data mining protein-protein interactions (PPIs) using graph convolutional neural networks (CNNs).
   
-  * [**DeepRank-GNN-esm**](https://github.com/haddocking/DeepRank-GNN-esm)
+  * [**DeepRank-GNN-esm**](https://github.com/haddocking/DeepRank-GNN-esm){:target="_blank"}
   DeepRank-GNN-esm is a general, configurable deep learning framework for data mining protein-protein interactions (PPIs) using graph convolutional neural networks (CNNs) and including language model features.
 
 <HR>
 ### Benchmarks and datasets
 
-* Docking benchmark of membrane protein complexes ([GitHub](https://github.com/haddocking/MemCplxDB)) and associated decoy dataset [ https://doi.org/10.15785/SBGRID/618]( https://doi.org/10.15785/SBGRID/618)
+* Docking benchmark of membrane protein complexes ([GitHub](https://github.com/haddocking/MemCplxDB){:target="_blank"}) and associated decoy dataset [ https://doi.org/10.15785/SBGRID/618]( https://doi.org/10.15785/SBGRID/618){:target="_blank"}
+
+* Cleaned Docking Benchmark 5 dataset, HADDOCK-ready, with unbound and bound structures matched: [https://github.com/haddocking/BM5-clean](https://github.com/haddocking/BM5-clean){:target="_blank"}
 
-* Cleaned Docking Benchmark 5 dataset, HADDOCK-ready, with unbound and bound structures matched: [https://github.com/haddocking/BM5-clean](https://github.com/haddocking/BM5-clean)
+* HADDOCK docking decoys for the new entries (55) of the protein-protein Docking Benchmark5: [https://data.sbgrid.org/dataset/131/](https://data.sbgrid.org/dataset/131/){:target="_blank"}
 
-* HADDOCK docking decoys for the new entries (55) of the protein-protein Docking Benchmark5: [https://data.sbgrid.org/dataset/131/](https://data.sbgrid.org/dataset/131/)
+* Docking models for Docking Benchmark 4, 5 and CAPRI score_set: [https://doi.org/10.15785/SBGRID/684](https://doi.org/10.15785/SBGRID/684){:target="_blank"}
 
-* Docking models for Docking Benchmark 4, 5 and CAPRI score_set: [https://doi.org/10.15785/SBGRID/684](https://doi.org/10.15785/SBGRID/684)
+* HADDOCK refined models for the biological/crystallographic interfaces collected in the DC and MANY datasets: [https://doi.org/10.15785/SBGRID/566](https://doi.org/10.15785/SBGRID/566){:target="_blank"}
 
-* HADDOCK refined models for the biological/crystallographic interfaces collected in the DC and MANY datasets: [https://doi.org/10.15785/SBGRID/566](https://doi.org/10.15785/SBGRID/566)
+* HADDOCK models of mutant protein complexes: [https://doi.org/10.15785/SBGRID/651](https://doi.org/10.15785/SBGRID/651){:target="_blank"}
 
-* HADDOCK models of mutant protein complexes: [https://doi.org/10.15785/SBGRID/651](https://doi.org/10.15785/SBGRID/651)
+* [Protein-DNA docking benchmark](https://github.com/haddocking/Prot-DNABenchmark){:target="_blank"}
 
-* [Protein-DNA docking benchmark](https://github.com/haddocking/Prot-DNABenchmark)
+* [Protein-small molecule benchmark](https://github.com/haddocking/shape-restrained-haddocking){:target="_blank"} containing all data related to our shape-restrained protein-ligand docking protocol (based on the DUDe small molecule benchmark. See the related tutorial [here](https://www.bonvinlab.org/education/HADDOCK24/shape-small-molecule/){:target="_blank"}
 
-* [Protein-cyclic peptide docking benchmark](https://github.com/haddocking/cyclic-peptides) and associated models dataset [https://data.sbgrid.org/dataset/912](https://data.sbgrid.org/dataset/912)
+* [Protein-cyclic peptide docking benchmark](https://github.com/haddocking/cyclic-peptides){:target="_blank"} and associated models dataset [https://data.sbgrid.org/dataset/912](https://data.sbgrid.org/dataset/912){:target="_blank"}.
 
-* All-atom and Coarse-grained HADDOCK docking models for Protein-DNA complexes: [https://zenodo.org/record/3941636](https://zenodo.org/record/3941636)
+* All-atom and Coarse-grained HADDOCK docking models for Protein-DNA complexes: [https://zenodo.org/record/3941636](https://zenodo.org/record/3941636){:target="_blank"}
 
-* [Dataset of modelled protein-cyclic peptide complexes](https://data.sbgrid.org/dataset/912/) obtained with HADDOCK corresponding to the optimal protocol described in  [Charitou et al. JCTC 2022](https://doi.org/10.1021/acs.jctc.2c00075)
+* [Dataset of modelled protein-cyclic peptide complexes](https://data.sbgrid.org/dataset/912/){:target="_blank"} obtained with HADDOCK corresponding to the optimal protocol described in  [Charitou et al. JCTC 2022](https://doi.org/10.1021/acs.jctc.2c00075){:target="_blank"}