Robotics & Machine Learning Daily News2024,Issue(Jun.27) :52-53.

Masaryk University Reports Findings in Machine Learning (Knot or not? Identifyin g unknotted proteins in knotted families with sequence-based Machine Learning mo del)

马萨里克大学报告机器学习的发现(结还是不结?基于序列的机器学习模型识别有结家族中的非结蛋白

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :52-53.

Masaryk University Reports Findings in Machine Learning (Knot or not? Identifyin g unknotted proteins in knotted families with sequence-based Machine Learning mo del)

马萨里克大学报告机器学习的发现(结还是不结?基于序列的机器学习模型识别有结家族中的非结蛋白

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者在捷克布尔诺发布的新闻报道,研究表明:“结蛋白虽然是Scar CE,但是某些蛋白质家族的关键结构成分,它们的rol仍然是一个深入研究的主题。利用AlphaFold(AF)提供的大量蛋白质结构预测集合,这项研究对整个UniProt数据库进行了综合检查,以创建一个强大的KNO连接和未连接蛋白质数据集。这项研究的资助者包括Narodowe Centrum Nauki、Grantova Agentura Cesk e Republiky。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Brno, Czech Re public, by NewsRx journalists, research stated, “Knotted proteins, although scar ce, are crucial structural components of certain protein families, and their rol es continue to be a topic of intense research. Capitalizing on the vast collecti on of protein structure predictions offered by AlphaFold (AF), this study comput ationally examines the entire UniProt database to create a robust dataset of kno tted and unknotted proteins.” Funders for this research include Narodowe Centrum Nauki, Grantova Agentura Cesk e Republiky.

Key words

Brno/Czech Republic/Europe/Cyborgs/E merging Technologies/Machine Learning/Peptides/Peptides and Proteins/Protein s

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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