<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 4 HW: Protein Engineering Part One :: 2026a-katharine-kolin</title><link>https://pages.htgaa.org/2026a/katharine-kolin/homework/week-04-hw-protein-engineering-part-one/index.html</link><description>Protein Design Part One Bioinformatics tools—including protein structure prediction, generative models, protein sequence recovery, and visualization tools—are essential for use in protein engineering, helping us design sequences, predict structures, and understand molecular interactions at scale, with increasing precision and efficacy. However, these tools are not perfect, as they are unable to perfectly mirror the complexity of how protein-related phenomena occur in the real, infinitely more complicated world. To further complicate things, some functions (enzymatic activity, ligand binding) may be easier to measure experimentally, but when designing proteins that are novel or poorly characterized, we lack accessible assays and other means of evaluating said proteins. Understanding the 3D structure of proteins is also a significant hurdle. An effective protein engineering pipeline must take this all into consideration. Thus, computational approaches should be discerned for use based on the requirements of the target protein and the desired function of said protein. Building an effective pipeline requires clarity and strategy. </description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/katharine-kolin/homework/week-04-hw-protein-engineering-part-one/index.xml" rel="self" type="application/rss+xml"/></channel></rss>