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{% extends "layout.html" %}
{% block content %}
<p>
<form action="/search">
<input name="query" class="form-control form-control-lg" type="search" placeholder="e.g., Rgma Nrxn3, up to 5 terms are allowed" aria-label="search" value="">
<button class="btn btn-outline-success my-2 my-sm-0" type="submit">Search</button>
</form>
<br>
This app searches PubMed to find <u>sentences</u> that contain the query terms (e.g., gene symbols) and a drug addiction related keyword. <a href="https://github.com/chen42/RatsPub/blob/master/ratspub.py#L95-L129">These keywords</a> belong to the following categories:
<ul>
<li> names of abused drugs, e.g., opioids</li>
<li> terms describing addiction, e.g., relapse </li>
<li> key brain regions implicated in addiction, e.g., ventral striatum </li>
<li> neurotrasmission, e.g., dopaminergic </li>
<li> synaptic plasticity, e.g., long term potentiation </li>
<li> intracellular signaling, e.g., phosphorylation </li>
</ul>
<br>
Live searches are conducted through PubMed to get relevant PMIDs, which are then used to retrieve the abstracts from a <a href="https://dataguide.nlm.nih.gov/edirect/archive.html">local archive</a>. The relationships are presented as an interactive <a href="https://js.cytoscape.org" >cytoscape</a> graph. The nodes can be moved around to better reveal the connections. Clicking on the links will bring up the corresponding sentences in a new browser window.
<p>
<hr>
<a href="https://github.com/chen42/ratspub"> Source code </a>
{% endblock %}
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