author_facet Wu, Yimin
Wang, Xiangyun
Liu, Xia
Wang, Yufeng
Wu, Yimin
Wang, Xiangyun
Liu, Xia
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author Wu, Yimin
Wang, Xiangyun
Liu, Xia
Wang, Yufeng
spellingShingle Wu, Yimin
Wang, Xiangyun
Liu, Xia
Wang, Yufeng
Genome Research
Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
Genetics (clinical)
Genetics
author_sort wu, yimin
spelling Wu, Yimin Wang, Xiangyun Liu, Xia Wang, Yufeng 1088-9051 1549-5469 Cold Spring Harbor Laboratory Genetics (clinical) Genetics http://dx.doi.org/10.1101/gr.913403 <jats:p>The search for novel antimalarial drug targets is urgent due to the growing resistance of <jats:italic>Plasmodium falciparum</jats:italic> parasites to available drugs. Proteases are attractive antimalarial targets because of their indispensable roles in parasite infection and development, especially in the processes of host erythrocyte rupture/invasion and hemoglobin degradation. However, to date, only a small number of proteases have been identified and characterized in <jats:italic>Plasmodium</jats:italic>species. Using an extensive sequence similarity search, we have identified 92 putative proteases in the <jats:italic>P. falciparum</jats:italic> genome. A set of putative proteases including calpain, metacaspase, and signal peptidase I have been implicated to be central mediators for essential parasitic activity and distantly related to the vertebrate host. Moreover, of the 92, at least 88 have been demonstrated to code for gene products at the transcriptional levels, based upon the microarray and RT-PCR results, and the publicly available microarray and proteomics data. The present study represents an initial effort to identify a set of expressed, active, and essential proteases as targets for inhibitor-based drug design.</jats:p><jats:p>[Supplemental material is available online at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.genome.org" xlink:type="simple">www.genome.org</jats:ext-link>.]</jats:p> Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite Genome Research
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title Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_unstemmed Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_full Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_fullStr Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_full_unstemmed Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_short Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_sort data-mining approaches reveal hidden families of proteases in the genome of malaria parasite
topic Genetics (clinical)
Genetics
url http://dx.doi.org/10.1101/gr.913403
publishDate 2003
physical 601-616
description <jats:p>The search for novel antimalarial drug targets is urgent due to the growing resistance of <jats:italic>Plasmodium falciparum</jats:italic> parasites to available drugs. Proteases are attractive antimalarial targets because of their indispensable roles in parasite infection and development, especially in the processes of host erythrocyte rupture/invasion and hemoglobin degradation. However, to date, only a small number of proteases have been identified and characterized in <jats:italic>Plasmodium</jats:italic>species. Using an extensive sequence similarity search, we have identified 92 putative proteases in the <jats:italic>P. falciparum</jats:italic> genome. A set of putative proteases including calpain, metacaspase, and signal peptidase I have been implicated to be central mediators for essential parasitic activity and distantly related to the vertebrate host. Moreover, of the 92, at least 88 have been demonstrated to code for gene products at the transcriptional levels, based upon the microarray and RT-PCR results, and the publicly available microarray and proteomics data. The present study represents an initial effort to identify a set of expressed, active, and essential proteases as targets for inhibitor-based drug design.</jats:p><jats:p>[Supplemental material is available online at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.genome.org" xlink:type="simple">www.genome.org</jats:ext-link>.]</jats:p>
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author Wu, Yimin, Wang, Xiangyun, Liu, Xia, Wang, Yufeng
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author_sort wu, yimin
container_issue 4
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description <jats:p>The search for novel antimalarial drug targets is urgent due to the growing resistance of <jats:italic>Plasmodium falciparum</jats:italic> parasites to available drugs. Proteases are attractive antimalarial targets because of their indispensable roles in parasite infection and development, especially in the processes of host erythrocyte rupture/invasion and hemoglobin degradation. However, to date, only a small number of proteases have been identified and characterized in <jats:italic>Plasmodium</jats:italic>species. Using an extensive sequence similarity search, we have identified 92 putative proteases in the <jats:italic>P. falciparum</jats:italic> genome. A set of putative proteases including calpain, metacaspase, and signal peptidase I have been implicated to be central mediators for essential parasitic activity and distantly related to the vertebrate host. Moreover, of the 92, at least 88 have been demonstrated to code for gene products at the transcriptional levels, based upon the microarray and RT-PCR results, and the publicly available microarray and proteomics data. The present study represents an initial effort to identify a set of expressed, active, and essential proteases as targets for inhibitor-based drug design.</jats:p><jats:p>[Supplemental material is available online at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.genome.org" xlink:type="simple">www.genome.org</jats:ext-link>.]</jats:p>
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spelling Wu, Yimin Wang, Xiangyun Liu, Xia Wang, Yufeng 1088-9051 1549-5469 Cold Spring Harbor Laboratory Genetics (clinical) Genetics http://dx.doi.org/10.1101/gr.913403 <jats:p>The search for novel antimalarial drug targets is urgent due to the growing resistance of <jats:italic>Plasmodium falciparum</jats:italic> parasites to available drugs. Proteases are attractive antimalarial targets because of their indispensable roles in parasite infection and development, especially in the processes of host erythrocyte rupture/invasion and hemoglobin degradation. However, to date, only a small number of proteases have been identified and characterized in <jats:italic>Plasmodium</jats:italic>species. Using an extensive sequence similarity search, we have identified 92 putative proteases in the <jats:italic>P. falciparum</jats:italic> genome. A set of putative proteases including calpain, metacaspase, and signal peptidase I have been implicated to be central mediators for essential parasitic activity and distantly related to the vertebrate host. Moreover, of the 92, at least 88 have been demonstrated to code for gene products at the transcriptional levels, based upon the microarray and RT-PCR results, and the publicly available microarray and proteomics data. The present study represents an initial effort to identify a set of expressed, active, and essential proteases as targets for inhibitor-based drug design.</jats:p><jats:p>[Supplemental material is available online at <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="http://www.genome.org" xlink:type="simple">www.genome.org</jats:ext-link>.]</jats:p> Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite Genome Research
spellingShingle Wu, Yimin, Wang, Xiangyun, Liu, Xia, Wang, Yufeng, Genome Research, Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite, Genetics (clinical), Genetics
title Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_full Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_fullStr Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_full_unstemmed Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_short Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
title_sort data-mining approaches reveal hidden families of proteases in the genome of malaria parasite
title_unstemmed Data-Mining Approaches Reveal Hidden Families of Proteases in the Genome of Malaria Parasite
topic Genetics (clinical), Genetics
url http://dx.doi.org/10.1101/gr.913403