diff --git a/.gitignore b/.gitignore
index 73346d4b3ea9405ee6dc8d852a57b261ff81e7f1..075c900f1fcb3eab244ca4ac90b26c82f267dd8c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,8 +1,10 @@
 SSBtoolkit-Tutorial1-DEV.ipynb
 SSBtoolkit-Tutorial2-DEV.ipynb
+SSBtoolkit-Tutorial3A-DEV.ipynb
 SSBtoolkit-Tutorial4-OXTR-DEV.ipynb
 src/lib/__pycache__/
 src/lib/autogrid_reference_files/
 src/lib/autogrids/
+src/lib/ssbtoolkit_BK.py
 .ipynb_checkpoints/
 debugging.txt
diff --git a/SSBtoolkit-Tutorial2-EBRAINS.ipynb b/SSBtoolkit-Tutorial2-EBRAINS.ipynb
index c16479c474c082af8b5f169d22322de95a90add9..b7a2aae4983bedac3732c2fcc032378ccca2ada8 100644
--- a/SSBtoolkit-Tutorial2-EBRAINS.ipynb
+++ b/SSBtoolkit-Tutorial2-EBRAINS.ipynb
@@ -441,35 +441,6 @@
     "💡 The potency predicted values can be exported as a python dictionary using the function `sim.PotencyToDict()` or saved in a csv file: `sim.PotencyToCSV()`. "
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "7650013b",
-   "metadata": {},
-   "source": [
-    "## Save results on Google Drive"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2d5ed71a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from google.colab import drive\n",
-    "drive.mount('/gdrive')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "16081378",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim.PotencyToCSV(path='/gdrive/MyDrive/XX') ## change XX accordingly. "
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "f2f97975",
diff --git a/SSBtoolkit-Tutorial3A-EBRAINS.ipynb b/SSBtoolkit-Tutorial3A-EBRAINS.ipynb
index c120758427995c5be6c1667d95f9ef6bd3cf2111..656fe1569f65c2540cb2a22f11bf123214b28a11 100644
--- a/SSBtoolkit-Tutorial3A-EBRAINS.ipynb
+++ b/SSBtoolkit-Tutorial3A-EBRAINS.ipynb
@@ -384,35 +384,6 @@
     "💡 The potency predicted values can be exported as a python dictionary using the function `sim.PotencyToDict()` or saved in a csv file: `sim.PotencyToCSV()`. "
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "fe6271ed",
-   "metadata": {},
-   "source": [
-    "## Save results on Google Drive"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c5f82273",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from google.colab import drive\n",
-    "drive.mount('/gdrive')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bd888ea5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim.PotencyToCSV(path='/gdrive/MyDrive/XX') ## change XX accordingly."
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "a7c9bbc4",
diff --git a/SSBtoolkit-Tutorial3B-tauRAMD-EBRAINS.ipynb b/SSBtoolkit-Tutorial3B-tauRAMD-EBRAINS.ipynb
index 4a8b8f2e6d85e6db42adf3266d65423c4770deba..9953102d96ae95f328d113b639ee3f811eebba34 100644
--- a/SSBtoolkit-Tutorial3B-tauRAMD-EBRAINS.ipynb
+++ b/SSBtoolkit-Tutorial3B-tauRAMD-EBRAINS.ipynb
@@ -458,35 +458,6 @@
     "💡 The potency predicted values can be exported as a python dictionary using the function `sim.PotencyToDict()` or saved in a csv file: `sim.PotencyToCSV()`. "
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "e9e16ef7",
-   "metadata": {},
-   "source": [
-    "## Save results on Google Drive"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d3ace9c6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from google.colab import drive\n",
-    "drive.mount('/gdrive')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "2df68659",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim.PotencyToCSV(path='/gdrive/MyDrive/XX') ## change XX accordingly."
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "65febe37",
diff --git a/SSBtoolkit-Tutorial4-OXTR-EBRAINS.ipynb b/SSBtoolkit-Tutorial4-OXTR-EBRAINS.ipynb
index 6ace35fda1ed250e0b812200ab93d3019ebdf737..0ed02cb64d492dc626399a52b10661456fccd0b0 100644
--- a/SSBtoolkit-Tutorial4-OXTR-EBRAINS.ipynb
+++ b/SSBtoolkit-Tutorial4-OXTR-EBRAINS.ipynb
@@ -285,35 +285,6 @@
     "sim.plotCurves()"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "5fd46fe3",
-   "metadata": {},
-   "source": [
-    "## Save results on Google Drive"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3e476cad",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from google.colab import drive\n",
-    "drive.mount('/gdrive')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "b98afd3b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sim.plotCurves(save=True, filename='/gdrive/MyDrive/XX') ## change XX accordingly. "
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "ff3d7f41",
diff --git a/src/lib/pathways/__pycache__/Gs.cpython-39.pyc b/src/lib/pathways/__pycache__/Gs.cpython-39.pyc
index f2526a339a1f76d36c791c488a40bd6551e3282a..e02e32e3bab2e6b49e52d2b05a528f23cf2d6d92 100644
Binary files a/src/lib/pathways/__pycache__/Gs.cpython-39.pyc and b/src/lib/pathways/__pycache__/Gs.cpython-39.pyc differ
diff --git a/src/lib/ssbtoolkit.py b/src/lib/ssbtoolkit.py
index 7b20da16249ac93c4c027396f7580cea893825db..23b9aa89abfa86294f84c26e27e5d0ad7ec0d846 100644
--- a/src/lib/ssbtoolkit.py
+++ b/src/lib/ssbtoolkit.py
@@ -648,9 +648,9 @@ class simulation:
                 except:
                     self._PathwayParameters = self._DefaultPathwayParametersDataFrame.set_index('Parameter').iloc[:,0].to_dict()
 
-            elif self._DefaultPathwayParametersDataFrame.empty and self._binding_kinetic_parameters is not None: 
-                self._DefaultPathwayParametersDataFrame = pd.read_csv('src/lib/pathways/{}_parameters.csv'.format(self._pathway))
-                self._PathwayParameters = {**self._DefaultPathwayParametersDataFrame.set_index('Parameter').iloc[:,0].to_dict(), **self._binding_kinetic_parameters}
+            #elif self._DefaultPathwayParametersDataFrame.empty and self._binding_kinetic_parameters is not None: 
+            #    self._DefaultPathwayParametersDataFrame = pd.read_csv('src/lib/pathways/{}_parameters.csv'.format(self._pathway))
+                #self._PathwayParameters = {**self._DefaultPathwayParametersDataFrame.set_index('Parameter').iloc[:,0].to_dict(), **self._binding_kinetic_parameters}
             
             elif self._DefaultPathwayParametersDataFrame.empty is False and self._binding_kinetic_parameters is not None:
                 try: 
@@ -673,6 +673,12 @@ class simulation:
                 data=[]
                 utils.printProgressBar(0, len(self._lig_conc_range), prefix = "{:<15}".format(ligand_name[:15]), suffix = 'Complete', length = 50)
 
+                ###DANGER ZONE###
+                if self._DefaultPathwayParametersDataFrame.empty and self._binding_kinetic_parameters is not None: 
+                    self._DefaultPathwayParametersDataFrame = pd.read_csv('src/lib/pathways/{}_parameters.csv'.format(self._pathway))
+                    self._PathwayParameters = {**self._DefaultPathwayParametersDataFrame.set_index('Parameter').iloc[:,0].to_dict(), **self._binding_kinetic_parameters[self._ligands.index(ligand)]}
+                ######################
+
                 for idx in range(len(self._lig_conc_range)):
 
                     ligand_conc = self._lig_conc_range[idx]