Journal article Open Access

"Doubly Orthogonal" Labeling of Peptides and Proteins

Tessier, Romain; Ceballos, Javier; Guidotti, Nora; Simonet-Davin, Raphael; Fierz, Beat; Waser, Jerome


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.3246280</identifier>
  <creators>
    <creator>
      <creatorName>Tessier, Romain</creatorName>
      <givenName>Romain</givenName>
      <familyName>Tessier</familyName>
      <affiliation>EPFL</affiliation>
    </creator>
    <creator>
      <creatorName>Ceballos, Javier</creatorName>
      <givenName>Javier</givenName>
      <familyName>Ceballos</familyName>
      <affiliation>EPFL</affiliation>
    </creator>
    <creator>
      <creatorName>Guidotti, Nora</creatorName>
      <givenName>Nora</givenName>
      <familyName>Guidotti</familyName>
      <affiliation>EPFL</affiliation>
    </creator>
    <creator>
      <creatorName>Simonet-Davin, Raphael</creatorName>
      <givenName>Raphael</givenName>
      <familyName>Simonet-Davin</familyName>
      <affiliation>EPFL</affiliation>
    </creator>
    <creator>
      <creatorName>Fierz, Beat</creatorName>
      <givenName>Beat</givenName>
      <familyName>Fierz</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2991-3044</nameIdentifier>
      <affiliation>EPFL</affiliation>
    </creator>
    <creator>
      <creatorName>Waser, Jerome</creatorName>
      <givenName>Jerome</givenName>
      <familyName>Waser</familyName>
      <affiliation>EPFL</affiliation>
    </creator>
  </creators>
  <titles>
    <title>"Doubly Orthogonal" Labeling of Peptides and Proteins</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-06-14</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3246280</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3246279</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/epfl</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Single-molecule data for Figure 2, including description of measurement procedure.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/771170/">771170</awardNumber>
      <awardTitle>Overcoming the Selectivity Challenge in Chemistry and Chemical Biology via Innovative Tethering Strategies</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100001711</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/SNSF/Programmes/51NF40-160589/">51NF40-160589</awardNumber>
      <awardTitle>NCCR Chemical Biology: Visualisation and Control of Biological Processes Using Chemistry (phase II)</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
105
23
views
downloads
All versions This version
Views 105105
Downloads 2323
Data volume 31.5 GB31.5 GB
Unique views 9999
Unique downloads 1919

Share

Cite as