Literature DB >> 23600809

Progress in computational studies of host-pathogen interactions.

Hufeng Zhou1, Jingjing Jin, Limsoon Wong.   

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.

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Year:  2012        PMID： 23600809     DOI： 10.1142/S0219720012300018

Source DB:  PubMed          Journal:  J Bioinform Comput Biol        ISSN： 0219-7200            Impact factor:   1.122


  15 in total

1.  Stringent homology-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions.

Authors:  Hufeng Zhou; Shangzhi Gao; Nam Ninh Nguyen; Mengyuan Fan; Jingjing Jin; Bing Liu; Liang Zhao; Geng Xiong; Min Tan; Shijun Li; Limsoon Wong
Journal:  Biol Direct       Date:  2014-04-08       Impact factor: 4.540

2.  Stringent DDI-based prediction of H. sapiens-M. tuberculosis H37Rv protein-protein interactions.

Authors:  Hufeng Zhou; Javad Rezaei; Willy Hugo; Shangzhi Gao; Jingjing Jin; Mengyuan Fan; Chern-Han Yong; Michal Wozniak; Limsoon Wong
Journal:  BMC Syst Biol       Date:  2013-12-13

3.  Prediction of interactions between viral and host proteins using supervised machine learning methods.

Authors:  Ranjan Kumar Barman; Sudipto Saha; Santasabuj Das
Journal:  PLoS One       Date:  2014-11-06       Impact factor: 3.240

4.  Comparative interactomics for virus-human protein-protein interactions: DNA viruses versus RNA viruses.

Authors:  Saliha Durmuş; Kutlu Ö Ülgen
Journal:  FEBS Open Bio       Date:  2017-01-04       Impact factor: 2.693

5.  Using structural knowledge in the protein data bank to inform the search for potential host-microbe protein interactions in sequence space: application to Mycobacterium tuberculosis.

Authors:  Gaurang Mahajan; Shekhar C Mande
Journal:  BMC Bioinformatics       Date:  2017-04-04       Impact factor: 3.169

6.  A Two-Way Proteome Microarray Strategy to Identify Novel Mycobacterium tuberculosis-Human Interactors.

Authors:  Tingming Cao; Lingna Lyu; Hongyan Jia; Jinghui Wang; Fengjiao Du; Liping Pan; Zihui Li; Aiying Xing; Jing Xiao; Yu Ma; Zongde Zhang
Journal:  Front Cell Infect Microbiol       Date:  2019-03-28       Impact factor: 5.293

7.  Integrated inference and evaluation of host-fungi interaction networks.

Authors:  Christian W Remmele; Christian H Luther; Johannes Balkenhol; Thomas Dandekar; Tobias Müller; Marcus T Dittrich
Journal:  Front Microbiol       Date:  2015-08-04       Impact factor: 5.640

Review 8.  A review on computational systems biology of pathogen-host interactions.

Authors:  Saliha Durmuş; Tunahan Çakır; Arzucan Özgür; Reinhard Guthke
Journal:  Front Microbiol       Date:  2015-04-09       Impact factor: 5.640

9.  Homology-Based Prediction of Potential Protein-Protein Interactions between Human Erythrocytes and Plasmodium falciparum.

Authors:  Gayatri Ramakrishnan; Narayanaswamy Srinivasan; Ponnan Padmapriya; Vasant Natarajan
Journal:  Bioinform Biol Insights       Date:  2015-12-20

Review 10.  Inter-Species/Host-Parasite Protein Interaction Predictions Reviewed.

Authors:  Jumoke Soyemi; Itunnuoluwa Isewon; Jelili Oyelade; Ezekiel Adebiyi
Journal:  Curr Bioinform       Date:  2018-08       Impact factor: 3.543
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