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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Main Authors: Abdul Musaweer Habib, Md. Saiful Islam, Md. Sohel, Md. Habibul Hasan Mazumder, Mohd. Omar Faruk Sikder, Shah Md. Shahik
Format: Article
Language:English
Published: BioMed Central 2016-12-01
Series:Genomics & Informatics
Subjects:
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.
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publishDate 2016-12-01
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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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