超越肽靶向序列：细胞凝聚物定位的机器学习

IF 28.1 1区生物学 Q1 CELL BIOLOGY

Cell Research Pub Date : 2025-04-14 DOI:10.1038/s41422-025-01115-6

Jonathon A. Ditlev, Julie D. Forman-Kay

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引用次数: 0

摘要

细胞内的蛋白质必须在复杂的细胞内环境中导航，与伙伴共定位并调节功能细胞组织。在最近的一篇科学论文中，Kilgore等人报道了ProtGPS的发展，ProtGPS是一种经过机器学习训练的预测细胞中生物分子凝聚物中蛋白质定位的预测器，可用于预测疾病相关突变对生物分子凝聚物蛋白质定位失调的能力。

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Beyond peptide targeting sequences: machine learning of cellular condensate localization

Proteins within cells must navigate complex intracellular environments to co-localize with partners and regulate functional cellular organization. In a recentScience paper, Kilgore et al. report the development of ProtGPS, a machine learning-trained predictor of protein localization within biomolecular condensates in cells that can be used to predict the ability of disease-linked mutations to dysregulate protein localization to biomolecular condensates.

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来源期刊

Cell Research 生物-细胞生物学

CiteScore

53.90

自引率

0.70%

发文量

2420

审稿时长

2.3 months

期刊介绍： Cell Research (CR) is an international journal published by Springer Nature in partnership with the Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences (CAS). It focuses on publishing original research articles and reviews in various areas of life sciences, particularly those related to molecular and cell biology. The journal covers a broad range of topics including cell growth, differentiation, and apoptosis; signal transduction; stem cell biology and development; chromatin, epigenetics, and transcription; RNA biology; structural and molecular biology; cancer biology and metabolism; immunity and molecular pathogenesis; molecular and cellular neuroscience; plant molecular and cell biology; and omics, system biology, and synthetic biology. CR is recognized as China's best international journal in life sciences and is part of Springer Nature's prestigious family of Molecular Cell Biology journals.