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Deep learning-based computational methods have achieved promising results in predicting protein-protein interactions (PPIs). However, existing benchmarks predominantly focus on isolated pairwise evaluations, overlooking a model's capability…

Protein-protein interactions (PPIs) play key roles in a broad range of biological processes. Numerous strategies have been proposed for predicting PPIs, and among them, graph-based methods have demonstrated promising outcomes owing to the…

机器学习 · 计算机科学 2024-04-19 Mingda Xu , Peisheng Qian , Ziyuan Zhao , Zeng Zeng , Jianguo Chen , Weide Liu , Xulei Yang

We model the evolution of eukaryotic protein-protein interaction (PPI) networks. In our model, PPI networks evolve by two known biological mechanisms: (1) Gene duplication, which is followed by rapid diversification of duplicate…

分子网络 · 定量生物学 2015-01-07 Jack Peterson , Steve Presse , Kristin S. Peterson , Ken A. Dill

The protein-protein interaction (PPI) network provides an overview of the complex biological reactions vital to an organism's metabolism and survival. Even though in the past PPI network were compared across organisms in detail, there has…

计算机视觉与模式识别 · 计算机科学 2023-10-27 Long-Huei Chen , Mohana Prasad Sathya Moorthy , Pratyaksh Sharma

Understanding the mathematical properties of graphs underling biological systems could give hints on the evolutionary mechanisms behind these structures. In this article we perform a complete statistical analysis over thousands of graphs…

分子网络 · 定量生物学 2019-08-29 D. Gamermann , J. Triana , R. Jaime

Network theorists have developed methods to characterize the complex interactions in natural phenomena. The structure of the network of interactions between proteins is important in the field of proteomics, and has been subject to intensive…

分子网络 · 定量生物学 2016-09-07 Allan A. Zea , Antonio Rueda-Toicen

Protein-protein interaction (PPI) networks, providing a comprehensive landscape of protein interacting patterns, enable us to explore biological processes and cellular components at multiple resolutions. For a biological process, a number…

分子网络 · 定量生物学 2016-04-13 Xiuli Ma , Guangyu Zhou , Jingjing Wang , Jian Peng , Jiawei Han

Aligning protein interaction networks (PPI) of two or more organisms consists of finding a mapping of the nodes (proteins) of the networks that captures important structural and functional associations (similarity). It is a well studied but…

分子网络 · 定量生物学 2020-10-12 Concettina Guerra , Pietro Hiram Guzzi

Understanding how molecular alterations propagate across biological systems to drive disease remains a central challenge. Although high-throughput profiling enables comprehensive characterization of tumor states, most models neglect…

定量方法 · 定量生物学 2026-05-11 Kyle Higgins , Guadalupe Gonzalez , Dennis Veselkov , Ivan Laponogov , Kirill Veselkov

Molecular interactions have widely been modelled as networks. The local wiring patterns around molecules in molecular networks are linked with their biological functions. However, networks model only pairwise interactions between molecules…

分子网络 · 定量生物学 2018-09-21 Thomas Gaudelet , Noel Malod-Dognin , Natasa Przulj

Protein-protein interactions (PPIs) are associated with various diseases, including cancer, infections, and neurodegenerative disorders. Obtaining three-dimensional structural information on these PPIs serves as a foundation to interfere…

生物大分子 · 定量生物学 2024-07-24 Xiaotong Xu , Alexandre M. J. J. Bonvin

Aligning protein-protein interaction (PPI) networks of different species has drawn a considerable interest recently. This problem is important to investigate evolutionary conserved pathways or protein complexes across species, and to help…

最优化与控制 · 数学 2009-05-08 Mikhail Zaslavskiy , Francis Bach , Jean-Philippe Vert

Networks have been used to model many real-world phenomena to better understand the phenomena and to guide experiments in order to predict their behavior. Since incorrect models lead to incorrect predictions, it is vital to have a correct…

分子网络 · 定量生物学 2007-05-23 Natasa Przulj , Derek G. Corneil , Igor Jurisica

Biological networks provide insight into the complex organization of biological processes in a cell at the system level. They are an effective tool for understanding the comprehensive map of functional interactions, finding the functional…

分子网络 · 定量生物学 2017-09-14 Somaye Hashemifar

Cellular functions are based on the complex interplay of proteins, therefore the structure and dynamics of these protein-protein interaction (PPI) networks are the key to the functional understanding of cells. In the last years, large-scale…

分子网络 · 定量生物学 2013-03-27 Yuliang Jin , Dmitrij Turaev , Thomas Weinmaier , Thomas Rattei , Hernan A. Makse

Background:Typically, proteins perform key biological functions by interacting with each other. As a consequence, predicting which protein pairs interact is a fundamental problem. Experimental methods are slow, expensive, and may be error…

生物大分子 · 定量生物学 2022-02-08 Leonardo Martini , Adriano Fazzone , Luca Becchetti

Complexes of physically interacting proteins are one of the fundamental functional units responsible for driving key biological mechanisms within the cell. Their identification is therefore necessary not only to understand complex formation…

计算工程、金融与科学 · 计算机科学 2012-11-27 Sriganesh Srihari , Hon Wai Leong

Living systems rely on coordinated molecular interactions, especially those related to gene expression and protein activity. The Unfolded Protein Response is a crucial mechanism in eukaryotic cells, activated when unfolded proteins exceed a…

PPI network alignment aims to find topological and functional similarities between networks of different species. Several alignment approaches have been proposed. Each of these approaches relies on a different alignment method and uses…

定量方法 · 定量生物学 2019-11-25 Sarra Ghanjeti

Protein-protein interactions (PPIs) are crucial in regulating numerous cellular functions, including signal transduction, transportation, and immune defense. As the accuracy of multi-chain protein complex structure prediction improves, the…

生物大分子 · 定量生物学 2024-02-07 Chenqing Hua , Connor Coley , Guy Wolf , Doina Precup , Shuangjia Zheng
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