<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 5: PROTEIN DESIGN PART II :: 2026a-paul-thiong-o</title><link>https://pages.htgaa.org/2026a/paul-thiong-o/homework/week-05-hw-protein-design-part-ii/index.html</link><description>Week # 5 Protein Design Part II PROTEIN DESIGN PART II To learn how cutting-edge AI and protein language models are used to design functional proteins and peptides “in silico”.
Part A: SOD1 Binder Peptide Design (From Pranam) Superoxide dismutase 1 (SOD1) is a cytosolic antioxidant enzyme that converts superoxide radicals into hydrogen peroxide and oxygen. In its native state, it forms a stable homodimer and binds copper and zinc. Mutations in SOD1 cause familial Amyotrophic Lateral Sclerosis (ALS). Among them, the A4V mutation (Alanine → Valine at residue 4) leads to one of the most aggressive forms of the disease. The mutation subtly destabilizes the N-terminus, perturbs folding energetics, and promotes toxic aggregation. Your challenge: 1. Design short peptides that bind mutant SOD1. 2. Then decide which ones are worth advancing toward therapy. You will use three models developed in our lab: • PepMLM: target sequence-conditioned peptide generation via masked language modeling • PeptiVerse: therapeutic property prediction • moPPIt: motif-specific multi-objective peptide design using Multi-Objective Guided Discrete Flow Matching (MOG-DFM)</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/paul-thiong-o/homework/week-05-hw-protein-design-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>