Robotics & Machine Learning Daily News2024,Issue(Nov.15) :9-10.

University of Denver Reports Findings in Machine Learning (Physics-Based Machine Learning Trains Hamiltonians and Decodes the Sequence-Conformation Relation in the Disordered Proteome)

丹佛大学报告了机器学习的发现(基于物理的机器学习训练汉密尔顿人并解码无序蛋白质组中的序列-构象关系)

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :9-10.

University of Denver Reports Findings in Machine Learning (Physics-Based Machine Learning Trains Hamiltonians and Decodes the Sequence-Conformation Relation in the Disordered Proteome)

丹佛大学报告了机器学习的发现(基于物理的机器学习训练汉密尔顿人并解码无序蛋白质组中的序列-构象关系)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道新sRx记者从科罗拉多州丹佛报道,研究称,“内在无序蛋白质”区域(IDPs)参与重要的生物学过程。要理解IDP功能,通常受构象控制,我们需要找到序列与构象之间的联系。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Denver, Colorado, by New sRx journalists, research stated, “Intrinsically disordered proteinsand regions (IDPs) are involved in vital biological processes. To understand the IDP functi on, oftencontrolled by conformation, we need to find the link between sequence and conformation.”

Key words

Denver/Colorado/United States/North a nd Central America/Cyborgs/Emerging Technologies/Machine Learning/Peptides a nd Proteins/Proteins/Proteome

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文