Update generative-virtual-screening.ipynb to NAB branding

Updated Jupyter notebook title to use new NIM Agent Blueprint branding

Author: ktretina

src/generative-virtual-screening.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Generative Virtual Screening NIM Blueprint\n",
+    "## NIM Agent Blueprint for Generative Virtual Screening in Drug Discovery\n",
     "This example notebook demonstrates how to connect BioNeMo NIMs to carry out a few key steps of a virtual screening workflow. Importantly, these steps are powered by highly performant AI models in each category: AlphaFold2 for folding, MolMIM for molecular generation, and DiffDock for protein-ligand docking.\n",
     "\n",
     "Below, we illustrate this workflow using an example protein and example molecule of interest, the SARS-CoV-2 main protease and Nirmatrelvir, however, the user is free to define any protein and molecule of their choosing.\n",