Mining the Proteome of subsp. ATCC 25586 for Potential Therapeutics Discovery: An Approach
The plethora of genome sequence information of bacteria in recent times has ushered in many novel strategies for antibacterial drug discovery and facilitated medical science to take up the challenge of the increasing resistance of pathogenic bacteria to current antibiotics. In this study, we adopted...
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BioMed Central
2016-12-01
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Series: | Genomics & Informatics |
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Online Access: | http://genominfo.org/upload/pdf/gni-14-255.pdf |
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author | Abdul Musaweer Habib Md. Saiful Islam Md. Sohel Md. Habibul Hasan Mazumder Mohd. Omar Faruk Sikder Shah Md. Shahik |
author_facet | Abdul Musaweer Habib Md. Saiful Islam Md. Sohel Md. Habibul Hasan Mazumder Mohd. Omar Faruk Sikder Shah Md. Shahik |
author_sort | Abdul Musaweer Habib |
collection | DOAJ |
description | The plethora of genome sequence information of bacteria in recent times has ushered in many novel strategies for antibacterial drug discovery and facilitated medical science to take up the challenge of the increasing resistance of pathogenic bacteria to current antibiotics. In this study, we adopted subtractive genomics approach to analyze the whole genome sequence of the Fusobacterium nucleatum, a human oral pathogen having association with colorectal cancer. Our study divulged 1,499 proteins of F. nucleatum, which have no homolog's in human genome. These proteins were subjected to screening further by using the Database of Essential Genes (DEG) that resulted in the identification of 32 vitally important proteins for the bacterium. Subsequent analysis of the identified pivotal proteins, using the Kyoto Encyclopedia of Genes and Genomes (KEGG) Automated Annotation Server (KAAS) resulted in sorting 3 key enzymes of F. nucleatum that may be good candidates as potential drug targets, since they are unique for the bacterium and absent in humans. In addition, we have demonstrated the three dimensional structure of these three proteins. Finally, determination of ligand binding sites of the 2 key proteins as well as screening for functional inhibitors that best fitted with the ligands sites were conducted to discover effective novel therapeutic compounds against F. nucleatum. |
format | Article |
id | doaj-art-735ea0adb4a7436d8e1ab568d375cc5e |
institution | Kabale University |
issn | 1598-866X 2234-0742 |
language | English |
publishDate | 2016-12-01 |
publisher | BioMed Central |
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series | Genomics & Informatics |
spelling | doaj-art-735ea0adb4a7436d8e1ab568d375cc5e2025-02-02T21:57:00ZengBioMed CentralGenomics & Informatics1598-866X2234-07422016-12-0114425526410.5808/GI.2016.14.4.255185Mining the Proteome of subsp. ATCC 25586 for Potential Therapeutics Discovery: An ApproachAbdul Musaweer Habib0Md. Saiful Islam1Md. Sohel2Md. Habibul Hasan Mazumder3Mohd. Omar Faruk Sikder4Shah Md. Shahik5Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh.Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh.Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh.Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh.Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh.Department of Genetic Engineering and Biotechnology, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, Bangladesh.The plethora of genome sequence information of bacteria in recent times has ushered in many novel strategies for antibacterial drug discovery and facilitated medical science to take up the challenge of the increasing resistance of pathogenic bacteria to current antibiotics. In this study, we adopted subtractive genomics approach to analyze the whole genome sequence of the Fusobacterium nucleatum, a human oral pathogen having association with colorectal cancer. Our study divulged 1,499 proteins of F. nucleatum, which have no homolog's in human genome. These proteins were subjected to screening further by using the Database of Essential Genes (DEG) that resulted in the identification of 32 vitally important proteins for the bacterium. Subsequent analysis of the identified pivotal proteins, using the Kyoto Encyclopedia of Genes and Genomes (KEGG) Automated Annotation Server (KAAS) resulted in sorting 3 key enzymes of F. nucleatum that may be good candidates as potential drug targets, since they are unique for the bacterium and absent in humans. In addition, we have demonstrated the three dimensional structure of these three proteins. Finally, determination of ligand binding sites of the 2 key proteins as well as screening for functional inhibitors that best fitted with the ligands sites were conducted to discover effective novel therapeutic compounds against F. nucleatum.http://genominfo.org/upload/pdf/gni-14-255.pdfcolon neoplasmsdrug delivery systemshomologligands |
spellingShingle | Abdul Musaweer Habib Md. Saiful Islam Md. Sohel Md. Habibul Hasan Mazumder Mohd. Omar Faruk Sikder Shah Md. Shahik Mining the Proteome of subsp. ATCC 25586 for Potential Therapeutics Discovery: An Approach Genomics & Informatics colon neoplasms drug delivery systems homolog ligands |
title | Mining the Proteome of subsp. ATCC 25586 for Potential Therapeutics Discovery: An Approach |
title_full | Mining the Proteome of subsp. ATCC 25586 for Potential Therapeutics Discovery: An Approach |
title_fullStr | Mining the Proteome of subsp. ATCC 25586 for Potential Therapeutics Discovery: An Approach |
title_full_unstemmed | Mining the Proteome of subsp. ATCC 25586 for Potential Therapeutics Discovery: An Approach |
title_short | Mining the Proteome of subsp. ATCC 25586 for Potential Therapeutics Discovery: An Approach |
title_sort | mining the proteome of subsp atcc 25586 for potential therapeutics discovery an approach |
topic | colon neoplasms drug delivery systems homolog ligands |
url | http://genominfo.org/upload/pdf/gni-14-255.pdf |
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