<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 05 HW: Protein Design Part 2 :: 2026a-rahul-yaji</title><link>https://pages.htgaa.org/2026a/rahul-yaji/homework/week-05-hw-protein-design-part-ii/index.html</link><description>Part 1: Generate Binders with PepMLM Retrieve sequence and introduce mutation: (Pasted the sequence from UniPort, deleted M at 1st position, changed A to V at 4th position.) ATKVVCVLKGDGPVQGIINFEQKESNGPVKVWGSIKGLTEGLHGFHVHEFGDNTAGCTSAGPHFNPLSRKHGGPKDEERHVGDLGNVTADKDGVADVSIEDSVISLSGDHCIIGRTLVVHEKADDLGKGGNEESTKTGNAGSRLACGVIGIAQ
Structure of the native sequence- predicted vs actual:
Generate 4 peptides using PepMLM Colab: index Binder Pseudo Perplexity 1 WRSPAVAVAHWE 7.76721411356481 2 WRVGWVGVELKE 24.2058244561383 3 WRSPAAXIEHKX 11.243453670563373 4 WRVYAAXIEWGK 20.449723821548965 Known binder: FLYRWLPSRRGG Perplexity score: 22.5252 A note about perplexity score: A key evaluation metric for language models that measures how well a probability model predicts a sample. Lower the score, higher the confidence of the model that the output satisfies the criteria.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/rahul-yaji/homework/week-05-hw-protein-design-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>