diff --git a/docs/.doctrees/environment.pickle b/docs/.doctrees/environment.pickle
index 0ee2c2a7..d5f0a764 100644
Binary files a/docs/.doctrees/environment.pickle and b/docs/.doctrees/environment.pickle differ
diff --git a/docs/.doctrees/index.doctree b/docs/.doctrees/index.doctree
index 172cabc6..d24a7d39 100644
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diff --git a/docs/_sources/index.rst.txt b/docs/_sources/index.rst.txt
index c7eafe52..8b28551d 100644
--- a/docs/_sources/index.rst.txt
+++ b/docs/_sources/index.rst.txt
@@ -4,7 +4,7 @@ Welcome to pyKVFinder's documentation!
 
 Welcome to the **Python-C parallel KVFinder (pyKVFinder)** documentation, this page was built to help you get started with our cavity detection and characterization package.
 
-pyKVFinder is an open-source Python package designed for detecting and characterizing cavities in biomolecular structures. It employs a geometric grid-and-sphere-based method with a dual-probe system to detect cavities, and provides a comprehensive information regarding their spatial, depth, constitutional, and hydropathy characteristics. In addition to cavity detection, pyKVFinder also estimates the molecular volume, using van der Waals (vdW) surface, solvent excluded surface (SES), and solvent accessible surface (SAS) to represent the molecular surface. 
+pyKVFinder is an open-source Python package designed for detecting and characterizing cavities in biomolecular structures. It employs a geometric grid-and-sphere-based method with a dual-probe system to detect cavities and provides a detailed information about their spatial, depth, constitutional, and hydropathy characteristics. In addition to cavity detection, pyKVFinder also estimates the molecular volume, using van der Waals (vdW) surface, solvent excluded surface (SES), and solvent accessible surface (SAS) to represent the molecular surface. 
 
 .. Headings:
 ..  # with overline, for parts
diff --git a/docs/index.html b/docs/index.html
index 69cf5761..4daa6c00 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -97,7 +97,7 @@
   <section id="welcome-to-pykvfinder-s-documentation">
 <h1>Welcome to pyKVFinder’s documentation!<a class="headerlink" href="#welcome-to-pykvfinder-s-documentation" title="Link to this heading"></a></h1>
 <p>Welcome to the <strong>Python-C parallel KVFinder (pyKVFinder)</strong> documentation, this page was built to help you get started with our cavity detection and characterization package.</p>
-<p>pyKVFinder is an open-source Python package designed for detecting and characterizing cavities in biomolecular structures. It employs a geometric grid-and-sphere-based method with a dual-probe system to detect cavities, and provides a comprehensive information regarding their spatial, depth, constitutional, and hydropathy characteristics. In addition to cavity detection, pyKVFinder also estimates the molecular volume, using van der Waals (vdW) surface, solvent excluded surface (SES), and solvent accessible surface (SAS) to represent the molecular surface.</p>
+<p>pyKVFinder is an open-source Python package designed for detecting and characterizing cavities in biomolecular structures. It employs a geometric grid-and-sphere-based method with a dual-probe system to detect cavities and provides a detailed information about their spatial, depth, constitutional, and hydropathy characteristics. In addition to cavity detection, pyKVFinder also estimates the molecular volume, using van der Waals (vdW) surface, solvent excluded surface (SES), and solvent accessible surface (SAS) to represent the molecular surface.</p>
 <div class="toctree-wrapper compound">
 <p class="caption" role="heading"><span class="caption-text">Python Package</span></p>
 <ul>
diff --git a/docs/searchindex.js b/docs/searchindex.js
index 47c5cbed..e692ef55 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"1. Loading van der Waals radii dictionary": [[28, "loading-van-der-waals-radii-dictionary"]], "1. Performing constitutional characterization": [[28, "performing-constitutional-characterization"]], "1. Performing depth characterization": [[28, "performing-depth-characterization"]], "1. vdW volume": [[28, "vdw-volume"]], "10.   Writing results": [[28, "writing-results"]], "10.1 Cavity detection only": [[28, "cavity-detection-only"]], "10.2 Spatial characterization": [[28, "spatial-characterization"]], "10.3 Spatial and constitutional characterization": [[28, "spatial-and-constitutional-characterization"]], "10.4 Spatial, constitutional and depth characterization": [[28, "spatial-constitutional-and-depth-characterization"]], "10.5 Spatial, constitutional, depth and hydropathy characterization": [[28, "spatial-constitutional-depth-and-hydropathy-characterization"]], "2. Loading data from target structure": [[28, "loading-data-from-target-structure"]], "2. 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\ No newline at end of file
+Search.setIndex({"alltitles": {"1. Loading van der Waals radii dictionary": [[28, "loading-van-der-waals-radii-dictionary"]], "1. Performing constitutional characterization": [[28, "performing-constitutional-characterization"]], "1. Performing depth characterization": [[28, "performing-depth-characterization"]], "1. vdW volume": [[28, "vdw-volume"]], "10.   Writing results": [[28, "writing-results"]], "10.1 Cavity detection only": [[28, "cavity-detection-only"]], "10.2 Spatial characterization": [[28, "spatial-characterization"]], "10.3 Spatial and constitutional characterization": [[28, "spatial-and-constitutional-characterization"]], "10.4 Spatial, constitutional and depth characterization": [[28, "spatial-constitutional-and-depth-characterization"]], "10.5 Spatial, constitutional, depth and hydropathy characterization": [[28, "spatial-constitutional-depth-and-hydropathy-characterization"]], "2. Loading data from target structure": [[28, "loading-data-from-target-structure"]], "2. 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\ No newline at end of file
diff --git a/docs/source/index.rst b/docs/source/index.rst
index c7eafe52..8b28551d 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -4,7 +4,7 @@ Welcome to pyKVFinder's documentation!
 
 Welcome to the **Python-C parallel KVFinder (pyKVFinder)** documentation, this page was built to help you get started with our cavity detection and characterization package.
 
-pyKVFinder is an open-source Python package designed for detecting and characterizing cavities in biomolecular structures. It employs a geometric grid-and-sphere-based method with a dual-probe system to detect cavities, and provides a comprehensive information regarding their spatial, depth, constitutional, and hydropathy characteristics. In addition to cavity detection, pyKVFinder also estimates the molecular volume, using van der Waals (vdW) surface, solvent excluded surface (SES), and solvent accessible surface (SAS) to represent the molecular surface. 
+pyKVFinder is an open-source Python package designed for detecting and characterizing cavities in biomolecular structures. It employs a geometric grid-and-sphere-based method with a dual-probe system to detect cavities and provides a detailed information about their spatial, depth, constitutional, and hydropathy characteristics. In addition to cavity detection, pyKVFinder also estimates the molecular volume, using van der Waals (vdW) surface, solvent excluded surface (SES), and solvent accessible surface (SAS) to represent the molecular surface. 
 
 .. Headings:
 ..  # with overline, for parts