| BMC Bioinformatics | |
| A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum | |
| Research | |
| Timothy G Lilburn1  Jianying Gu2  Hong Cai3  Armando L Rodriguez4  Yufeng Wang5  Rui Kuang6  Changjin Hong6  Sheng Chen6  | |
| [1] Department of Bacteriology, American Type Culture Collection, 20110, Manassas, VA, USA;Department of Biology, College of Staten Island, City University of New York, 10314, Staten Island, NY, USA;Department of Biology, University of Texas at San Antonio, 78249, San Antonio, TX, USA;Department of Biology, University of Texas at San Antonio, 78249, San Antonio, TX, USA;Department of Computer Science, University of Texas at San Antonio, 78249, San Antonio, TX, USA;Department of Biology, University of Texas at San Antonio, 78249, San Antonio, TX, USA;South Texas Center for Emerging Infectious Diseases, University of Texas at San Antonio, 78249, San Antonio, TX, USA;Department of Computer Science and Engineering, University of Minnesota Twin Cities, 55455, Minneapolis, MN, USA; | |
| 关键词: Malaria; Artemisinin; Cell Cycle Regulation; Central Protein; Network Alignment; | |
| DOI : 10.1186/1471-2105-14-S12-S2 | |
| 来源: Springer | |
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【 摘 要 】
BackgroundAccording to the World Health organization, half the world's population is at risk of contracting malaria. They estimated that in 2010 there were 219 million cases of malaria, resulting in 660,000 deaths and an enormous economic burden on the countries where malaria is endemic. The adoption of various high-throughput genomics-based techniques by malaria researchers has meant that new avenues to the study of this disease are being explored and new targets for controlling the disease are being developed. Here, we apply a novel neighborhood subnetwork alignment approach to identify the interacting elements that help regulate the cell cycle of the malaria parasite Plasmodium falciparum.ResultsOur novel subnetwork alignment approach was used to compare networks in Escherichia coli and P. falciparum. Some 574 P. falciparum proteins were revealed as functional orthologs of known cell cycle proteins in E. coli. Over one third of these predicted functional orthologs were annotated as "conserved Plasmodium proteins" or "putative uncharacterized proteins" of unknown function. The predicted functionalities included cyclins, kinases, surface antigens, transcriptional regulators and various functions related to DNA replication, repair and cell division.ConclusionsThe results of our analysis demonstrate the power of our subnetwork alignment approach to assign functionality to previously unannotated proteins. Here, the focus was on proteins involved in cell cycle regulation. These proteins are involved in the control of diverse aspects of the parasite lifecycle and of important aspects of pathogenesis.
【 授权许可】
Unknown
© Cai et al; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202311097190841ZK.pdf | 2295KB |
【 参考文献 】
- [1]
- [2]
- [3]
- [4]
- [5]
- [6]
- [7]
- [8]
- [9]
- [10]
- [11]
- [12]
- [13]
- [14]
- [15]
- [16]
- [17]
- [18]
- [19]
- [20]
- [21]
- [22]
- [23]
- [24]
- [25]
- [26]
- [27]
- [28]
- [29]
- [30]
- [31]
- [32]
- [33]
- [34]
- [35]
- [36]
- [37]
- [38]
- [39]
- [40]
- [41]
- [42]
- [43]
- [44]
- [45]
- [46]
- [47]
- [48]
- [49]
- [50]
- [51]
- [52]
- [53]
- [54]
- [55]
- [56]
- [57]
- [58]
- [59]
- [60]
- [61]
- [62]
- [63]
- [64]
- [65]
- [66]
- [67]
- [68]
- [69]
- [70]
- [71]
- [72]
- [73]
- [74]
- [75]
- [76]
- [77]
- [78]
- [79]
- [80]
- [81]
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