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    <titleInfo>
      <title>Computer-aided analysis of West Sub-Saharan Africa snakes venom towards the design of epitope-based poly-specific antivenoms</title>
    </titleInfo>
    <name type="personnal">
      <namePart type="family">Ros-Lucas</namePart>
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      <affiliation>IRD</affiliation>
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    <name type="personnal">
      <namePart type="family">Bigey</namePart>
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        <roleTerm type="text">auteur</roleTerm>
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      <affiliation>IRD</affiliation>
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    <name type="personnal">
      <namePart type="family">Chippaux</namePart>
      <namePart type="given">Jean-Philippe</namePart>
      <role>
        <roleTerm type="text">auteur</roleTerm>
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      <affiliation>IRD</affiliation>
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    <name type="personnal">
      <namePart type="family">Gascon</namePart>
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        <roleTerm type="text">auteur</roleTerm>
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    <name type="personnal">
      <namePart type="family">Alonso-Padilla</namePart>
      <namePart type="given">J.</namePart>
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        <roleTerm type="text">auteur</roleTerm>
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    <abstract>Snakebite envenomation is a neglected tropical disease that causes over 100,000 deaths each year. The only effective treatment consists of antivenoms derived from animal sera, but these have been deemed with highly variable potency and are usually inaccessible and too costly for victims. The production of antivenoms by venom-independent techniques, such as the immunization with multi-epitope constructs, could circumvent those drawbacks. Herein, we present a knowledge-based pipeline to prioritize potential epitopes of therapeutic relevance from toxins of medically important snakes in West Sub-Saharan Africa. It is mainly based on sequence conservation and protein structural features. The ultimately selected 41 epitopes originate from 11 out of 16 snake species considered of highest medical importance in the region and 3 out of 10 of those considered as secondary medical importance. Echis ocellatus, responsible for the highest casualties in the area, would be covered by 12 different epitopes. Remarkably, this pipeline is versatile and customizable for the analysis of snake venom sequences from any other region of the world.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject>
      <topic>antivenom</topic>
      <topic>snake bites</topic>
      <topic>snake venoms</topic>
      <topic>snakes</topic>
      <topic>B-cell epitopes</topic>
      <topic>Sub-Saharan Africa</topic>
    </subject>
    <subject authority="local">
      <geographic>AFRIQUE DE L'OUEST</geographic>
      <geographic>ZONE TROPICALE</geographic>
    </subject>
    <classification authority="local">080</classification>
    <classification authority="local">050</classification>
    <classification authority="local">020</classification>
    <relatedItem type="host">
      <titleInfo>
        <title>Toxins</title>
      </titleInfo>
      <part>
        <detail type="volume">
          <number>14</number>
        </detail>
        <detail type="volume">
          <number>6</number>
        </detail>
        <extent unit="pages">
          <list>418 [16 ]</list>
        </extent>
      </part>
      <originInfo>
        <dateIssued>2022</dateIssued>
      </originInfo>
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    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010085366</identifier>
    <identifier type="doi">10.3390/toxins14060418</identifier>
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      <url usage="primary display" access="object in context">https://www.documentation.ird.fr/hor/fdi:010085366</url>
      <url access="row object">https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2022-09/010085366.pdf</url>
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      <recordContentSource>IRD - Base Horizon / Pleins textes</recordContentSource>
      <recordCreationDate encoding="w3cdtf">2022-09-02</recordCreationDate>
      <recordChangeDate encoding="w3cdtf">2025-02-24</recordChangeDate>
      <recordIdentifier>fdi:010085366</recordIdentifier>
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        <languageTerm authority="iso639-2b">fre</languageTerm>
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