دورية أكاديمية
ECNet is an evolutionary context-integrated deep learning framework for protein engineering
العنوان: | ECNet is an evolutionary context-integrated deep learning framework for protein engineering |
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المؤلفون: | Yunan Luo, Guangde Jiang, Tianhao Yu, Yang Liu, Lam Vo, Hantian Ding, Yufeng Su, Wesley Wei Qian, Huimin Zhao, Jian Peng |
المصدر: | Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021) |
بيانات النشر: | Nature Portfolio, 2021. |
سنة النشر: | 2021 |
المجموعة: | LCC:Science |
مصطلحات موضوعية: | Science |
الوصف: | Protein engineering is an active area of research in which machine learning has proven quite powerful. Here, the authors present a deep learning method that integrates both general and protein-specific sequence representations to improve the engineering of one’s protein of interest. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2041-1723 |
Relation: | https://doaj.org/toc/2041-1723 |
DOI: | 10.1038/s41467-021-25976-8 |
URL الوصول: | https://doaj.org/article/0bb0a79962b04f8bba4f09b68761698c |
رقم الأكسشن: | edsdoj.0bb0a79962b04f8bba4f09b68761698c |
قاعدة البيانات: | Directory of Open Access Journals |
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