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AuthorRomero-Molina, Sandradc.contributor.author
AuthorRuiz-Blanco, Yasser B.dc.contributor.author
AuthorHarms, Mirjadc.contributor.author
AuthorMuench, Jandc.contributor.author
AuthorSanchez-Garcia, Elsadc.contributor.author
Date of accession2019-09-11T07:40:14Zdc.date.accessioned
Available in OPARU since2019-09-11T07:40:14Zdc.date.available
Date of first publication2019dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Dewey Decimal GroupDDC 610 / Medicine & healthdc.subject.ddc
TitlePPI-Detect: A Support Vector Machine Model for Sequence-Based Prediction of Protein-Protein Interactionsdc.title
Resource typeWissenschaftlicher Artikeldc.type
InstitutionUKU. Institut für Molekulare Virologieuulm.affiliationSpecific
InstitutionCore Facility Functional Peptidomicsuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1002/jcc.25780dc.identifier.doiExternal
Source - Title of sourceJournal of Computational Chemistrysource.title
Source - Place of publicationWileysource.publisher
Source - Volume40source.volume
Source - Issue11source.issue
Source - Year2019source.year
Source - From page1233source.fromPage
Source - To page1242source.toPage
Source - ISSN0192-8651source.identifier.issn
Source - eISSN1096-987Xsource.identifier.eissn
FundingSFB 1279 / Nutzung des menschlichen Peptidoms für die Entwicklung neuer antimikrobieller und anti-Krebs Therapeutika / DFG / SFB / 316249678uulm.funding
CommunityUniversitätsklinikum Ulmuulm.community
WoS000462060100006uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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