Cargando…
Predicted metal binding sites for phytoremediation
Metal ion binding domains are found in proteins that mediate transport, buffering or detoxification of metal ions. The objective of the study is to design and analyze metal binding motifs against the genes involved in phytoremediation. This is being done on the basis of certain pre-requisite amino-a...
Autores principales: | , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823383/ https://www.ncbi.nlm.nih.gov/pubmed/20198171 |
_version_ | 1782177639349354496 |
---|---|
author | Sharma, Ashok Roy, Sudeep Tripathi, Kumar Parijat Roy, Pratibha Mishra, Manoj Khan, Feroz Meena, Abha |
author_facet | Sharma, Ashok Roy, Sudeep Tripathi, Kumar Parijat Roy, Pratibha Mishra, Manoj Khan, Feroz Meena, Abha |
author_sort | Sharma, Ashok |
collection | PubMed |
description | Metal ion binding domains are found in proteins that mediate transport, buffering or detoxification of metal ions. The objective of the study is to design and analyze metal binding motifs against the genes involved in phytoremediation. This is being done on the basis of certain pre-requisite amino-acid residues known to bind metal ions/metal complexes in medicinal and aromatic plants (MAP's). Earlier work on MAP's have shown that heavy metals accumulated by aromatic and medicinal plants do not appear in the essential oil and that some of these species are able to grow in metal contaminated sites. A pattern search against the UniProtKB/Swiss-Prot and UniProtKB/TrEMBL databases yielded true positives in each case showing the high specificity of the motifs designed for the ions of nickel, lead, molybdenum, manganese, cadmium, zinc, iron, cobalt and xenobiotic compounds. Motifs were also studied against PDB structures. Results of the study suggested the presence of binding sites on the surface of protein molecules involved. PDB structures of proteins were finally predicted for the binding sites functionality in their respective phytoremediation usage. This was further validated through CASTp server to study its physico-chemical properties. Bioinformatics implications would help in designing strategy for developing transgenic plants with increased metal binding capacity. These metal binding factors can be used to restrict metal update by plants. This helps in reducing the possibility of metal movement into the food chain. |
format | Text |
id | pubmed-2823383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-28233832010-03-02 Predicted metal binding sites for phytoremediation Sharma, Ashok Roy, Sudeep Tripathi, Kumar Parijat Roy, Pratibha Mishra, Manoj Khan, Feroz Meena, Abha Bioinformation Hypothesis Metal ion binding domains are found in proteins that mediate transport, buffering or detoxification of metal ions. The objective of the study is to design and analyze metal binding motifs against the genes involved in phytoremediation. This is being done on the basis of certain pre-requisite amino-acid residues known to bind metal ions/metal complexes in medicinal and aromatic plants (MAP's). Earlier work on MAP's have shown that heavy metals accumulated by aromatic and medicinal plants do not appear in the essential oil and that some of these species are able to grow in metal contaminated sites. A pattern search against the UniProtKB/Swiss-Prot and UniProtKB/TrEMBL databases yielded true positives in each case showing the high specificity of the motifs designed for the ions of nickel, lead, molybdenum, manganese, cadmium, zinc, iron, cobalt and xenobiotic compounds. Motifs were also studied against PDB structures. Results of the study suggested the presence of binding sites on the surface of protein molecules involved. PDB structures of proteins were finally predicted for the binding sites functionality in their respective phytoremediation usage. This was further validated through CASTp server to study its physico-chemical properties. Bioinformatics implications would help in designing strategy for developing transgenic plants with increased metal binding capacity. These metal binding factors can be used to restrict metal update by plants. This helps in reducing the possibility of metal movement into the food chain. Biomedical Informatics 2009-09-05 /pmc/articles/PMC2823383/ /pubmed/20198171 Text en © 2009 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Hypothesis Sharma, Ashok Roy, Sudeep Tripathi, Kumar Parijat Roy, Pratibha Mishra, Manoj Khan, Feroz Meena, Abha Predicted metal binding sites for phytoremediation |
title | Predicted metal binding sites for phytoremediation |
title_full | Predicted metal binding sites for phytoremediation |
title_fullStr | Predicted metal binding sites for phytoremediation |
title_full_unstemmed | Predicted metal binding sites for phytoremediation |
title_short | Predicted metal binding sites for phytoremediation |
title_sort | predicted metal binding sites for phytoremediation |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2823383/ https://www.ncbi.nlm.nih.gov/pubmed/20198171 |
work_keys_str_mv | AT sharmaashok predictedmetalbindingsitesforphytoremediation AT roysudeep predictedmetalbindingsitesforphytoremediation AT tripathikumarparijat predictedmetalbindingsitesforphytoremediation AT roypratibha predictedmetalbindingsitesforphytoremediation AT mishramanoj predictedmetalbindingsitesforphytoremediation AT khanferoz predictedmetalbindingsitesforphytoremediation AT meenaabha predictedmetalbindingsitesforphytoremediation |