<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Programmable-Biology on Saurav Panigrahi</title><link>https://sauravpanigrahi.com/tags/programmable-biology/</link><description>Recent content in Programmable-Biology on Saurav Panigrahi</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://sauravpanigrahi.com/tags/programmable-biology/feed.xml" rel="self" type="application/rss+xml"/><item><title>Programmable Biology</title><link>https://sauravpanigrahi.com/reading/programmable-biology/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://sauravpanigrahi.com/reading/programmable-biology/</guid><description>&lt;p&gt;Long-form references on biological foundation models, structure prediction, and sequence modeling.&lt;/p&gt;
&lt;h2 id="genomic-foundation-models"&gt;Genomic Foundation Models&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://www.biorxiv.org/content/10.1101/2025.02.18.638918v1"&gt;Evo 2&lt;/a&gt;&lt;br&gt;
Long-context genomic foundation model for sequence modeling and design.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://arxiv.org/abs/2306.15794"&gt;HyenaDNA&lt;/a&gt;&lt;br&gt;
Long-context sequence models at nucleotide resolution.&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="structure-prediction"&gt;Structure Prediction&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://www.nature.com/articles/s41586-021-03819-2"&gt;AlphaFold&lt;/a&gt;&lt;br&gt;
Foundational protein structure prediction paper.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://www.nature.com/articles/s41586-024-07487-w"&gt;AlphaFold 3&lt;/a&gt;&lt;br&gt;
Extends structure prediction toward biomolecular complexes and interactions.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;&lt;a href="https://openfold.readthedocs.io/en/latest/"&gt;OpenFold&lt;/a&gt;
Open implementation and training stack for AlphaFold-style systems.&lt;/p&gt;
&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="bioinformatics-practice"&gt;Bioinformatics Practice&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://rosalind.info/problems/locations/"&gt;Rosalind&lt;/a&gt;
Bioinformatics algorithms through concrete programming problems.&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>