PROGRESS IN COMPUTATIONAL STUDIES OF HOST–PATHOGEN INTERACTIONS

Author:

ZHOU HUFENG1,JIN JINGJING2,WONG LIMSOON2

Affiliation:

1. NUS Graduate School for Integrative Sciences & Engineering, National University of Singapore, Singapore 117456, Singapore

2. School of Computing, National University of Singapore, Singapore 117417, Singapore

Abstract

Host–pathogen interactions are important for understanding infection mechanism and developing better treatment and prevention of infectious diseases. Many computational studies on host–pathogen interactions have been published. Here, we review recent progress and results in this field and provide a systematic summary, comparison and discussion of computational studies on host–pathogen interactions, including prediction and analysis of host–pathogen protein–protein interactions; basic principles revealed from host–pathogen interactions; and database and software tools for host–pathogen interaction data collection, integration and analysis.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science Applications,Molecular Biology,Biochemistry

Cited by 43 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Computational methods for detection of host-pathogen interactions;Systems Biology Approaches for Host-Pathogen Interaction Analysis;2024

2. Advancements in systems biology-based analysis of microbial pathogenesis;Systems Biology Approaches for Host-Pathogen Interaction Analysis;2024

3. Interactions shaping the interactome;Genomic Surveillance and Pandemic Preparedness;2023

4. A new framework for host-pathogen interaction research;Frontiers in Immunology;2022-12-15

5. Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases;In Silico Biology;2022-01-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3