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      <src>https://socictopen.socict.org/files/original/58bc02bce0a938de85dcd8fb81456489.pdf</src>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Coronavirus</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Dominio científico: Coronavirus</text>
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        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
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            <elementText elementTextId="56509">
              <text>The Implementation of Regularized Markov Clustering with Pigeon Inspired Optimization Algorithm in Analyzing the SARS-CoV-2 (COVID-19) Protein Interaction Network</text>
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          <name>Creator</name>
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              <text>M. Syamsuddin Wisnubroto, Marsudi Siburian, Febri Dwi Irawati</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Proteins interact with other proteins, DNA, and other molecules, forming large-scale protein interaction networks and for easy analysis, clustering methods are needed. Regularized Markov clustering algorithm is an improvement of MCL where operations on expansion are replaced by new operations that update the flow distributions of each node. But to reduce the weaknesses of the RMCL optimization, Pigeon Inspired Optimization Algorithm (PIO) is used to replace the inflation parameters. The simulation results of IPC SARS-Cov-2 (COVID-19) inflation parameters  get the result of 42 proteins as the center of the cluster and 8 protein pairs interacting with each other. Proteins of COVID-19 that interact with 20 or more proteins are ORF8, NSP13, NSP7, M, N, ORF9C, NSP8, and NSP1. Their interactions might be used as a target for drug research.</text>
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          <name>Date</name>
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              <text>2020</text>
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        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>protein-protein interaction, SARS-CoV-2 (CoVID19), pigeon inspired optimization, regularized markov clustering</text>
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        <element elementId="43">
          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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            <elementText elementTextId="56514">
              <text>10.24042/djm.v3i3.6822</text>
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          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
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              <text>Desimal</text>
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          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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            <elementText elementTextId="56516">
              <text>Universitas Islam Negeri Raden Intan Lampung</text>
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          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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            <elementText elementTextId="56517">
              <text>Mathematics, Applied mathematics. Quantitative methods</text>
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