<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 1 HW: Final Project Idea :: saptadip-saha</title><link>https://pages.htgaa.org/2026b/saptadip-saha/week-01-hw-project-ideas/index.html</link><description>Generative AI for Designing Programmable Bacteriophages Project summary My central question is whether generative biological language models can design new receptor-binding proteins (RBPs) that reprogram the host specificity of an existing bacteriophage. A bacteriophage, or phage, is a virus that infects bacteria. And, as mentioned, the term receptor-binding protein (RBP) is not unique to phages; it covers any protein that mediates attachment to a target receptor, including attachment proteins on other viruses. In a phage, the RBP is the part that helps determine which bacterium it recognizes. We treat the phage as a prototype platform: keep its replication machinery mostly fixed, and use it as the living test system that reveals whether a generative model’s custom-designed RBP actually functions, in a real bacterium recognizing a real target, rather than only on paper.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026b/saptadip-saha/week-01-hw-project-ideas/index.xml" rel="self" type="application/rss+xml"/></channel></rss>