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Sample Application Submission - Life Sciences / Molecular Modeling #484

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May 12, 2023
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{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
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"- [Knowledge Graph](#Knowledge-Graph)\n",
"- [Identity Graph](#Identity-Graph)\n",
"- [Security Graph](#Security-Graph)\n",
"- [Healthcare and Life Sciences Graphs](#Healthcare-and-Life-Sciences-Graphs)\n",
"- [Neptune ML - People Analytics](#Neptune-ML-People-Analytics)\n",
"\n",
"\n",
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"\n",
"The examples in this notebook shows a sample security graph solution using an open dataset as well as data visualizations that allow one to better understand the structure of a security graph.\n",
"\n",
"## [Healthcare and Life Sciences Graphs](./05-Healthcare-and-Life-Sciences-Graphs/01-Modeling-Molecular-Structures-as-Graph-Data-Gremlin.ipynb)\n",
"\n",
"A molecular modeling graph which represents chemical structures as graph data. Visualizing atoms as nodes, and the bonds between atoms as edges, enables users to explore chemical structures in a persistent environment. Using the popular open-source bioinformatics package RDKit, and a molecule represented as a SMILES string, walk through the process of transforming a molecule into a graph. Also, walk through a simple example of using packages in the graph-notebook environment.\n",
"\n",
"The examples in this notebook show how to take the SMILES format string for the molecule caffeine and transform it into a graph representation. The notebook also includes exploration and visualization of the caffeine molecule as a graph.\n",
"\n",
"## [People Analytics using Machine Learning](../04-Machine-Learning/Sample-Applications/01-People-Analytics)\n",
"\n",
"Hiring and retaining good personnel is a key characteristic to making an organization successful. One way that organizations approach this problem is through the use of people analytics. People analytics allow business leaders to make data-driven decisions about personnel-related issues such as recruiting, evaluation, hiring, promotion, and retention, etc.\n",
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