Robotics & Machine Learning Daily News2024,Issue(Nov.14) :5-6.

Zhejiang University Reports Findings in Machine Learning (StaPep: An Open-Source Toolkit for Structure Prediction, Feature Extraction, and Rational Design of Hy drocarbon-Stapled Peptides)

浙江大学报告了机器学习的发现(StaPep:一个用于结构预测、特征提取和Hy drocarbon-stapled肽合理设计的开源工具包)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :5-6.

Zhejiang University Reports Findings in Machine Learning (StaPep: An Open-Source Toolkit for Structure Prediction, Feature Extraction, and Rational Design of Hy drocarbon-Stapled Peptides)

浙江大学报告了机器学习的发现(StaPep:一个用于结构预测、特征提取和Hy drocarbon-stapled肽合理设计的开源工具包)

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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。据新闻报道研究称,NewsRx记者源于中华人民共和国杭州的报道,“全烃吻合肽,其共价侧链限制,提供增强的蛋白水解作用。”稳定性和膜透性,使其优于线性肽。但是,用于提取描述了预测烃结合肽性质的结构和理化性质缺乏。

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 originating in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“All-hydrocarbon stapled peptides, with their covalent side-chain constraints, provide enhanced proteolyticstability and membrane permeability, making them superior to linear peptides. However, tools for extractingstructural and physicochemical descripto rs to predict the properties of hydrocarbon-stapled peptides arelacking.”

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Drugs and Therapies/Emerging Technologies/Hydrocarbons/Machine L earning/Organic Chemicals/Peptides/Peptides and Proteins/Proteins

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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