# Proteins Published articles for Proteins. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## PottsMPNN uses machine learning to improve computational protein design DevFeed: [PottsMPNN uses machine learning to improve computational protein design]() Original publisher: [Read original article]() Author: Lillian Eden | Department of Biology Published: 2026-08-27T19:20:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Machine learning](), [Artificial Intelligence]() Tags: [ai](), [ai-in-biology](), [amino-acids](), [amy-keating](), [artificial-intelligence](), [biological-engineering](), [biology](), [computational-protein-design](), [computer-science-and-technology](), [foster-birnbaum](), [machine-learning](), [mit-department-of-biology](), [native-sequence-recovery](), [novel-protein-design](), [pottsmpnn](), [proteins](), [research](), [school-of-engineering](), [school-of-science]() ### AI overview Researchers developed PottsMPNN, a machine-learning framework for computational protein design that incorporates physical principles governing protein structure and stability. The framework evaluates generated sequences by their likelihood of folding into desired structures and by its ability to predict mutation effects, rather than by how closely they match naturally occurring sequences. ### Source excerpt A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature. ## The Genetic Code and Proteins of the Other Covid-19 Vaccines DevFeed: [The Genetic Code and Proteins of the Other Covid-19 Vaccines]() Original publisher: [Read original article]() Published: 2021-01-12T12:47:18Z Content type: article Language: en Sources: [Bert Hubert's writings]() Topics: [Reverse Engineering](), [Code]() Tags: [biology](), [covid](), [covid-19](), [dna](), [proteins](), [research]() ### AI overview The article compares genetic differences among major SARS-CoV-2 vaccines, focusing on mRNA and viral-vector vaccines and how they express modified or unmodified Spike protein. It lists products including BioNTech/Pfizer, Moderna, CureVac, Oxford/AstraZeneca, Janssen, and Sputnik V. ### Source excerpt Translations: 中文, 日本語 As a followup to Reverse Engineering the source code of the BioNTech/Pfizer SARS-CoV-2 Vaccine, here is a look at the genetic code behind some of the other vaccines. I recommend at least skimming the earlier post before delving into this one, unless you are already fluent in modified mRNA bases and protein expression mechanics. To get an extremely full background on all vaccine work, I kindly refer you to excellent posts from Derek Lowe and Hilda Bastian. ## DNA: The Code of Life DevFeed: [DNA: The Code of Life]() Original publisher: [Read original article]() Published: 2017-08-12T18:01:03Z Content type: article Language: en Sources: [Bert Hubert's writings]() Topics: [Code](), [Computing](), [Programming]() Tags: [3d](), [biology](), [code](), [digital](), [dna](), [programming](), [proteins]() ### AI overview A brief introduction to presentations arguing that DNA in living cells can be usefully described and studied with computer terminology. It covers DNA's digital representation, genes, redundancy, the relationship between DNA, RNA and proteins, ribosomes, codons, and biological function calls. ### Source excerpt DNA: The Code of Life At the most magical SHA2017 gathering I gave two presentations, "DNA: The Code of Life" and the followup, "DNA: More greatest hits" (slides). The first presentation was recorded by the wonderful CCC C3VOC streaming crew, the second one by my friend Bart Smit (who is also wonderful). Without making this post too long, I want to thank everyone who helped me do this presentation -- a lot of people contributed time, advice, recording abilities, great questions and enthusiasm.