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Structure of the 40S ribosomal subunit of Plasmodium falciparum by homology and de novo modeling

Generation of three dimensional structures of macromolecules using in silico structural modeling technologies such as homology and de novo modeling has improved dramatically and increased the speed by which tertiary structures of organisms can be generated. This is especially the case if a homologou...

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Autores principales: Mwangi, Harrison Ndung'u, Wagacha, Peter, Mathenge, Peterson, Sijenyi, Fredrick, Mulaa, Francis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237758/
https://www.ncbi.nlm.nih.gov/pubmed/28119814
http://dx.doi.org/10.1016/j.apsb.2016.10.003
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author Mwangi, Harrison Ndung'u
Wagacha, Peter
Mathenge, Peterson
Sijenyi, Fredrick
Mulaa, Francis
author_facet Mwangi, Harrison Ndung'u
Wagacha, Peter
Mathenge, Peterson
Sijenyi, Fredrick
Mulaa, Francis
author_sort Mwangi, Harrison Ndung'u
collection PubMed
description Generation of three dimensional structures of macromolecules using in silico structural modeling technologies such as homology and de novo modeling has improved dramatically and increased the speed by which tertiary structures of organisms can be generated. This is especially the case if a homologous crystal structure is already available. High-resolution structures can be rapidly created using only their sequence information as input, a process that has the potential to increase the speed of scientific discovery. In this study, homology modeling and structure prediction tools such as RNA123 and SWISS–MODEL were used to generate the 40S ribosomal subunit from Plasmodium falciparum. This structure was modeled using the published crystal structure from Tetrahymena thermophila, a homologous eukaryote. In the absence of the Plasmodium falciparum 40S ribosomal crystal structure, the model accurately depicts a global topology, secondary and tertiary connections, and gives an overall root mean square deviation (RMSD) value of 3.9 Å relative to the template׳s crystal structure. Deviations are somewhat larger in areas with no homology between the templates. These results demonstrate that this approach has the power to identify motifs of interest in RNA and identify potential drug targets for macromolecules whose crystal structures are unknown. The results also show the utility of RNA homology modeling software for structure determination and lay the groundwork for applying this approach to larger and more complex eukaryotic ribosomes and other RNA-protein complexes. Structures generated from this study can be used in in silico screening experiments and lead to the determination of structures for targets/hit complexes.
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spelling pubmed-52377582017-01-24 Structure of the 40S ribosomal subunit of Plasmodium falciparum by homology and de novo modeling Mwangi, Harrison Ndung'u Wagacha, Peter Mathenge, Peterson Sijenyi, Fredrick Mulaa, Francis Acta Pharm Sin B Original Article Generation of three dimensional structures of macromolecules using in silico structural modeling technologies such as homology and de novo modeling has improved dramatically and increased the speed by which tertiary structures of organisms can be generated. This is especially the case if a homologous crystal structure is already available. High-resolution structures can be rapidly created using only their sequence information as input, a process that has the potential to increase the speed of scientific discovery. In this study, homology modeling and structure prediction tools such as RNA123 and SWISS–MODEL were used to generate the 40S ribosomal subunit from Plasmodium falciparum. This structure was modeled using the published crystal structure from Tetrahymena thermophila, a homologous eukaryote. In the absence of the Plasmodium falciparum 40S ribosomal crystal structure, the model accurately depicts a global topology, secondary and tertiary connections, and gives an overall root mean square deviation (RMSD) value of 3.9 Å relative to the template׳s crystal structure. Deviations are somewhat larger in areas with no homology between the templates. These results demonstrate that this approach has the power to identify motifs of interest in RNA and identify potential drug targets for macromolecules whose crystal structures are unknown. The results also show the utility of RNA homology modeling software for structure determination and lay the groundwork for applying this approach to larger and more complex eukaryotic ribosomes and other RNA-protein complexes. Structures generated from this study can be used in in silico screening experiments and lead to the determination of structures for targets/hit complexes. Elsevier 2017-01 2016-12-07 /pmc/articles/PMC5237758/ /pubmed/28119814 http://dx.doi.org/10.1016/j.apsb.2016.10.003 Text en © 2017 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Mwangi, Harrison Ndung'u
Wagacha, Peter
Mathenge, Peterson
Sijenyi, Fredrick
Mulaa, Francis
Structure of the 40S ribosomal subunit of Plasmodium falciparum by homology and de novo modeling
title Structure of the 40S ribosomal subunit of Plasmodium falciparum by homology and de novo modeling
title_full Structure of the 40S ribosomal subunit of Plasmodium falciparum by homology and de novo modeling
title_fullStr Structure of the 40S ribosomal subunit of Plasmodium falciparum by homology and de novo modeling
title_full_unstemmed Structure of the 40S ribosomal subunit of Plasmodium falciparum by homology and de novo modeling
title_short Structure of the 40S ribosomal subunit of Plasmodium falciparum by homology and de novo modeling
title_sort structure of the 40s ribosomal subunit of plasmodium falciparum by homology and de novo modeling
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5237758/
https://www.ncbi.nlm.nih.gov/pubmed/28119814
http://dx.doi.org/10.1016/j.apsb.2016.10.003
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