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<article article-type="research-article" dtd-version="1.0" xml:lang="en"
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    <front>
        <journal-meta>
            <journal-id journal-id-type="issn">0973-7510</journal-id>
            <journal-title-group>
                <journal-title>Journal of Pure and Applied Microbiology</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2581-690X</issn>
            <publisher>
                <publisher-name>DR. M.N. Khan</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.22207/JPAM.12.3.69</article-id>
            <title-group>
                <article-title>Screening and Identification of Microbial Derivatives for Inhibiting Legumain: An In silico Approach</article-title>
            </title-group>
            <contrib-group>
				<contrib contrib-type="author">
                    <name>
                        <surname>Deepa Reddy</surname>
                        <given-names>Bandi</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff-1"/>
                </contrib>
                		
				<contrib contrib-type="author">
                    <name>
                        <surname>Kumari Chitturi</surname>
                        <given-names>Ch. M.</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff-1"/>
                </contrib>
            </contrib-group>
			
			
            <aff id="aff-1">Department of Applied Microbiology, Sri Padmavati Mahila Visvavidyalayam (Women’s University), Tirupati, Andhra Pradesh, India.</aff>
	 
			
			
            <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2018-09-30">
                <day>30</day>
                <month>09</month>
                <year>2018</year>
            </pub-date>
            <volume>12</volume>
            <issue>3</issue>
            <fpage>1623</fpage>
            <lpage>1630</lpage>
            <permissions>
                <copyright-statement>Copyright &#x00A9; 2018 The Author(s)</copyright-statement>
                <copyright-year>2018</copyright-year>
                <license license-type="open-access"
                    xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.<uri 
					xlink:href="https://creativecommons.org/licenses/by/4.0/"
                            >https://creativecommons.org/licenses/by/4.0/</uri></license-p>
                </license>
            </permissions>
            <self-uri xlink:href="https://www.microbiologyjournal.org/screening-and-identification-of-microbial-derivatives-for-inhibiting-legumain-an-in-silico-approach/"/>
            <abstract>
                <p>Legumain an asparginyl endopeptidase expressed by both tumor cells and cells present
in tumor microenvironment is an ideal therapeutic target for development of cancer therapies
due to its correlation with high metastasis and invasion in various cancers. Microbial derivatives
have demonstrated many pharmacological properties such as antioxidant, anti-inflammatory,
anti tumor and immunostimulatory activities.In the current study, 541 microbial derivatives
were screened for their potential to inhibit legumain using Lib dock .Out of 541 compounds
screened we have identified 55 microbial derivatives which showed binding to legumain by
docking. Molecular interaction analysis of top five docked derivatives revealed the interaction
of derivatives with the catalytic residues of legumain. These compounds need to be further
evaluated in vitro and in vivo for Legumain inhibition and ultimately cancer regression.
		</p>
		</abstract>
		<kwd-group>
        <title>Keywords</title>
        <kwd>In silico</kwd>
        <kwd>Legumain</kwd>
			<kwd>Lib dock</kwd>
			<kwd>Microbial derivatives</kwd>
         </kwd-group>
        </article-meta>
    </front>
    </article>
