Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria
Abstract Background Up to half a billion human clinical cases of malaria are reported each year, resulting in about 2.7 million deaths, most of which occur in sub-Saharan Africa. Due to the over-and misuse of anti-malarials, widespread resistance to all the known drugs is increasing at an alarming r...
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ftdoajarticles:oai:doaj.org/article:ea8c34a0fcd64841b243b57db6668f35 2023-05-15T15:09:27+02:00 Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria Odendaal Christiaan J Koegelenberg Riaan J Harrison Claudia M Joubert Fourie de Beer Tjaart AP 2009-07-01T00:00:00Z https://doi.org/10.1186/1475-2875-8-178 https://doaj.org/article/ea8c34a0fcd64841b243b57db6668f35 EN eng BMC http://www.malariajournal.com/content/8/1/178 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-8-178 1475-2875 https://doaj.org/article/ea8c34a0fcd64841b243b57db6668f35 Malaria Journal, Vol 8, Iss 1, p 178 (2009) Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2009 ftdoajarticles https://doi.org/10.1186/1475-2875-8-178 2022-12-30T22:07:33Z Abstract Background Up to half a billion human clinical cases of malaria are reported each year, resulting in about 2.7 million deaths, most of which occur in sub-Saharan Africa. Due to the over-and misuse of anti-malarials, widespread resistance to all the known drugs is increasing at an alarming rate. Rational methods to select new drug target proteins and lead compounds are urgently needed. The Discovery system provides data mining functionality on extensive annotations of five malaria species together with the human and mosquito hosts, enabling the selection of new targets based on multiple protein and ligand properties. Methods A web-based system was developed where researchers are able to mine information on malaria proteins and predicted ligands, as well as perform comparisons to the human and mosquito host characteristics. Protein features used include: domains, motifs, EC numbers, GO terms, orthologs, protein-protein interactions, protein-ligand interactions and host-pathogen interactions among others. Searching by chemical structure is also available. Results An in silico system for the selection of putative drug targets and lead compounds is presented, together with an example study on the bifunctional DHFR-TS from Plasmodium falciparum . Conclusion The Discovery system allows for the identification of putative drug targets and lead compounds in Plasmodium species based on the filtering of protein and chemical properties. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 8 1 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
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Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
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Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Odendaal Christiaan J Koegelenberg Riaan J Harrison Claudia M Joubert Fourie de Beer Tjaart AP Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria |
topic_facet |
Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract Background Up to half a billion human clinical cases of malaria are reported each year, resulting in about 2.7 million deaths, most of which occur in sub-Saharan Africa. Due to the over-and misuse of anti-malarials, widespread resistance to all the known drugs is increasing at an alarming rate. Rational methods to select new drug target proteins and lead compounds are urgently needed. The Discovery system provides data mining functionality on extensive annotations of five malaria species together with the human and mosquito hosts, enabling the selection of new targets based on multiple protein and ligand properties. Methods A web-based system was developed where researchers are able to mine information on malaria proteins and predicted ligands, as well as perform comparisons to the human and mosquito host characteristics. Protein features used include: domains, motifs, EC numbers, GO terms, orthologs, protein-protein interactions, protein-ligand interactions and host-pathogen interactions among others. Searching by chemical structure is also available. Results An in silico system for the selection of putative drug targets and lead compounds is presented, together with an example study on the bifunctional DHFR-TS from Plasmodium falciparum . Conclusion The Discovery system allows for the identification of putative drug targets and lead compounds in Plasmodium species based on the filtering of protein and chemical properties. |
format |
Article in Journal/Newspaper |
author |
Odendaal Christiaan J Koegelenberg Riaan J Harrison Claudia M Joubert Fourie de Beer Tjaart AP |
author_facet |
Odendaal Christiaan J Koegelenberg Riaan J Harrison Claudia M Joubert Fourie de Beer Tjaart AP |
author_sort |
Odendaal Christiaan J |
title |
Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria |
title_short |
Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria |
title_full |
Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria |
title_fullStr |
Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria |
title_full_unstemmed |
Discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria |
title_sort |
discovery: an interactive resource for the rational selection and comparison of putative drug target proteins in malaria |
publisher |
BMC |
publishDate |
2009 |
url |
https://doi.org/10.1186/1475-2875-8-178 https://doaj.org/article/ea8c34a0fcd64841b243b57db6668f35 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 8, Iss 1, p 178 (2009) |
op_relation |
http://www.malariajournal.com/content/8/1/178 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-8-178 1475-2875 https://doaj.org/article/ea8c34a0fcd64841b243b57db6668f35 |
op_doi |
https://doi.org/10.1186/1475-2875-8-178 |
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Malaria Journal |
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8 |
container_issue |
1 |
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1766340645861982208 |