diff --git a/examples/README.md b/examples/README.md
index 67a2c73..914b4c4 100755
--- a/examples/README.md
+++ b/examples/README.md
@@ -7,9 +7,15 @@ The `examples/input` comprises of the fasta sequences (`examples/input/fasta`),
 
 In addition it also comprises the `topology{x}.txt` files that define the representation to be used for running the `nude_modeling.py` modeling script. The `{x}` in the topology file's name corresponds to the number of amino acid residues to be coarse-grained to a single flexible bead for regions that lack a previously characterized structure. In this example, we are comparing the 1, 5, 10, 20, 30 and 50 residues per bead coarse-grained representations of the regions with unknown structure of NuDe sub-complex. It is to be noted that the regions with known structure will be modeled as 1 and 10 residues per bead representation. Importantly, note that *any* representation can be compared as long there is a valid modeling file associated with it (representation can be mentioned via a topology file or manually). 
 
-The `nude_modeling.py` script is also adapted from the [Integrative model of the NuRD subcomplexes](https://github.com/isblab/nurd) repository for use with NestOR.
+It also contains the `nestor_params_optrep.yaml` file which defines the NestOR parameters. Each parameter is described in the file itself. 
 
-The `nestor_params_optrep.yaml` defines the NestOR parameters. Each parameter is described in the file itself. 
+The `nude_modeling.py` script is also adapted from the [Integrative model of the NuRD subcomplexes](https://github.com/isblab/nurd) repository for use with NestOR.
 
 The `nestor_output.yaml` contains an example output for the given setup. In addition to this file, NestOR also saves a model from each iteration. These models are not included here due to space constraints. It also generates plots visualizing the log(evidence) (mean and standard error on the mean) (`examples/trial_optrep_params_evidence_errorbarplot.png`), MCMC per step sampling time (`examples/trial_optrep_params_persteptime.png`), NestOR total process time (`examples/trial_optrep_params_proctime.png`) and per step MCMC sampling time and log(evidence) together for all candidate representations (`examples/sterr_evi_and_proctime.png`). 
 
+## Running nested sampling on this example
+For this example, the user only needs to run 
+```
+{path_to_IMP_installation} python nude_modeling.py
+``` 
+This command will run one nested sampling run. However, for use with the `wrapper_v{x}.py` the user will need to use modify this `nude_modeling.py` a bit to use command-line arguments. In the current form, the command line arguments have been hard coded in `nude_modeling.py`. The user will need to make these `sys.argv` in the correct order for the wrapper to work. Please see the comments in the `nude_modeling.py` for more details.
\ No newline at end of file
diff --git a/examples/nude_modeling.py b/examples/nude_modeling.py
index 144a1cc..6e4b887 100755
--- a/examples/nude_modeling.py
+++ b/examples/nude_modeling.py
@@ -40,10 +40,10 @@
 # --- remove this section
 
 
-dat_dir = IMP.nestor.get_example_path("input")
-run_output_dir = "run_" + "0" 
-topology_file = os.path.join(dat_dir, "topology50.txt")
-h_param_file = os.path.join(dat_dir, "nestor_params_optrep.yaml")
+dat_dir = IMP.nestor.get_example_path("input")  
+run_output_dir = "run_" + "0"  # sys.argv[1]
+topology_file = os.path.join(dat_dir, "topology50.txt")  # sys.argv[2]
+h_param_file = os.path.join(dat_dir, "nestor_params_optrep.yaml")  # sys.argv[3]
 
 max_shuffle_core = 5
 max_shuffle_set2 = 50
diff --git a/pyext/src/wrapper_v6.py b/pyext/src/wrapper_v6.py
index 2433392..7251ce4 100755
--- a/pyext/src/wrapper_v6.py
+++ b/pyext/src/wrapper_v6.py
@@ -384,9 +384,10 @@ def main():
         print("\nNone of the runs was successful...!")
     print("Done...!\n\n")
 
+
 ###################################################
 #                      Main
 ###################################################
 
 if __name__ == "__main__":
-    main()
\ No newline at end of file
+    main()