Title |
Identification of important interacting proteins (IIPs) in Plasmodium falciparum using large-scale interaction network analysis and in-silico knock-out studies
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Published in |
Malaria Journal, February 2015
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DOI | 10.1186/s12936-015-0562-1 |
Pubmed ID | |
Authors |
Madhumita Bhattacharyya, Saikat Chakrabarti |
Abstract |
Plasmodium falciparum causes the most severe form of malaria and affects 3.2 million people annually. Due to the increasing incidence of resistance to existing drugs, there is a growing need to discover new and more effective drugs against malaria. Despite the global importance of P. falciparum, vast majority of its proteins are uncharacterized experimentally. Application of newer approaches using several "omics" data has become successful for exploring the biological interactions underlying cellular processes. Till date not many system level study has been published using P. falciparum protein protein interaction. Hence, the purpose of this study is to develop a standardized pipeline for structural, functional, and topographical analysis of large scale protein protein interaction network (PPIN) in order to identify proteins important for network topology and integrity. Here, P. falciparum PPIN has been utilized as a model for better understanding of the molecular mechanisms of survival and pathogenesis of malaria parasite. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Burkina Faso | 1 | 2% |
India | 1 | 2% |
Netherlands | 1 | 2% |
Germany | 1 | 2% |
Unknown | 49 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 21% |
Student > Ph. D. Student | 9 | 17% |
Student > Postgraduate | 6 | 11% |
Researcher | 4 | 8% |
Student > Bachelor | 4 | 8% |
Other | 12 | 23% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 26% |
Biochemistry, Genetics and Molecular Biology | 6 | 11% |
Computer Science | 6 | 11% |
Medicine and Dentistry | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
Other | 10 | 19% |
Unknown | 11 | 21% |