Deciphering protein interaction network dynamics with a machine learning-based framework

被引：1

作者：

Reed, Tavis J. ^{[1
]}

Criste, Ileana M. ^{[1
]}

机构：

[1] Princeton Univ, Princeton, NJ 08544 USA

来源：

NATURE METHODS | 2024年 / 21卷 / 03期

关键词：

D O I：

10.1038/s41592-024-02180-2

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We developed Tapioca, an integrative ensemble machine learning-based framework, to accurately predict global protein-protein interaction network dynamics. Tapioca enabled the characterization of host regulation during reactivation from latency of an oncogenic virus. Introducing an interactome homology analysis method, we identified a proviral host factor with broad relevance for herpesviruses.

引用

页码：387 / 388

页数：2

共 50 条

[21] A vigorous machine learning-based framework for the identification of LUTD biomarkers
Akshay, A.
Besic, M.
Burkhard, F.
Bruggmann, R.
Monastyrskaya, K.
Gheinani, Hashemi A.
EUROPEAN UROLOGY, 2022, 81 : S1047 - S1047
[22] A machine learning-based framework for analyzing car brand styling
Li, Baojun
Dong, Ying
Wen, Zhijie
Liu, Mingzeng
Yang, Lei
Song, Mingliang
ADVANCES IN MECHANICAL ENGINEERING, 2018, 10 (07)
[23] Machine learning-based framework for saliency detection in distorted images
Yuzhen Niu
Lening Lin
Yuzhong Chen
Lingling Ke
Multimedia Tools and Applications, 2017, 76 : 26329 - 26353
[24] A machine learning-based framework for predicting game server load
Ozer, Cagdas
Cevik, Taner
Gurhanli, Ahmet
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (06) : 9527 - 9546
[25] Machine Learning-based Optimal Framework for Internet of Things Networks
Alsafasfeh, Moath
Arida, Zaid A.
Saraereh, Omar A.
CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 71 (03): : 5355 - 5380
[26] A novel machine learning-based spatialized population synthesis framework
Khachman, Mohamed
Morency, Catherine
Ciari, Francesco
TRANSPORTATION, 2024,
[27] A machine learning-based framework for mapping hydrogen at the atomic scale
Zhao, Qingkun
Zhu, Qi
Zhang, Zhenghao
Yin, Binglun
Gao, Huajian
Zhou, Haofei
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2024, 121 (39)
[28] Machine Learning-Based Open Framework for Multiresolution Multiagent Simulation
Pierzchala, Dariusz
Czuba, Przemyslaw
MODELLING AND SIMULATION FOR AUTONOMOUS SYSTEMS (MESAS 2019), 2020, 11995 : 216 - 228
[29] A machine learning-based analytical framework for employee turnover prediction
Wang, Xinlei
Zhi, Jianing
JOURNAL OF MANAGEMENT ANALYTICS, 2021, 8 (03) : 351 - 370
[30] A machine learning-based framework for predicting game server load
Çağdaş Özer
Taner Çevik
Ahmet Gürhanlı
Multimedia Tools and Applications, 2021, 80 : 9527 - 9546

← 1 2 3 4 5 →