An all-atom protein generative model

التفاصيل البيبلوغرافية
العنوان: An all-atom protein generative model
المؤلفون: Alexander E. Chu, Lucy Cheng, Gina El Nesr, Minkai Xu, Po-Ssu Huang
المصدر: bioRxiv
بيانات النشر: Cold Spring Harbor Laboratory, 2023.
سنة النشر: 2023
مصطلحات موضوعية: Article
الوصف: Proteins mediate their functions through chemical interactions; modeling these interactions, which are typically through sidechains, is an important need in protein design. However, constructing an all-atom generative model requires an appropriate scheme for managing the jointly continuous and discrete nature of proteins encoded in the structure and sequence. We describe an all-atom diffusion model of protein structure, Protpardelle, which instantiates a “superposition” over the possible sidechain states, and collapses it to conduct reverse diffusion for sample generation. When combined with sequence design methods, our model is able to co-design all-atom protein structure and sequence. Generated proteins are of good quality under the typical quality, diversity, and novelty metrics, and sidechains reproduce the chemical features and behavior of natural proteins. Finally, we explore the potential of our model conduct all-atom protein design and scaffold functional motifs in a backbone- and rotamer-free way.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1181ed7bccb6a469f5607b0067b260e9
https://doi.org/10.1101/2023.05.24.542194
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....1181ed7bccb6a469f5607b0067b260e9
قاعدة البيانات: OpenAIRE