IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition.
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| Title: | IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition. |
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| Authors: | Borch A; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Carri I; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina., Reynisson B; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Alvarez HMG; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina., Munk KK; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Montemurro A; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Kristensen NP; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Tvingsholm SA; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Holm JS; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Heeke C; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Moss KH; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Hansen UK; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Schaap-Johansen AL; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Bagger FO; Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark., de Lima VAB; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Rohrberg KS; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Funt SA; Department of Medicine, Weill Cornell Medical College, New York, NY, United States., Donia M; National Center for Cancer Immune Therapy, Copenhagen University Hospital, Herlev, Denmark., Svane IM; National Center for Cancer Immune Therapy, Copenhagen University Hospital, Herlev, Denmark., Lassen U; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark., Barra C; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark., Nielsen M; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina., Hadrup SR; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark. |
| Source: | Frontiers in immunology [Front Immunol] 2024 Apr 03; Vol. 15, pp. 1360281. Date of Electronic Publication: 2024 Apr 03 (Print Publication: 2024). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38633261 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Borch+A%22">Borch A</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Carri+I%22">Carri I</searchLink>; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina.<br /><searchLink fieldCode="AU" term="%22Reynisson+B%22">Reynisson B</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Alvarez+HMG%22">Alvarez HMG</searchLink>; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina.<br /><searchLink fieldCode="AU" term="%22Munk+KK%22">Munk KK</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Montemurro+A%22">Montemurro A</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Kristensen+NP%22">Kristensen NP</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Tvingsholm+SA%22">Tvingsholm SA</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Holm+JS%22">Holm JS</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Heeke+C%22">Heeke C</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Moss+KH%22">Moss KH</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Hansen+UK%22">Hansen UK</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Schaap-Johansen+AL%22">Schaap-Johansen AL</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Bagger+FO%22">Bagger FO</searchLink>; Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22de+Lima+VAB%22">de Lima VAB</searchLink>; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Rohrberg+KS%22">Rohrberg KS</searchLink>; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Funt+SA%22">Funt SA</searchLink>; Department of Medicine, Weill Cornell Medical College, New York, NY, United States.<br /><searchLink fieldCode="AU" term="%22Donia+M%22">Donia M</searchLink>; National Center for Cancer Immune Therapy, Copenhagen University Hospital, Herlev, Denmark.<br /><searchLink fieldCode="AU" term="%22Svane+IM%22">Svane IM</searchLink>; National Center for Cancer Immune Therapy, Copenhagen University Hospital, Herlev, Denmark.<br /><searchLink fieldCode="AU" term="%22Lassen+U%22">Lassen U</searchLink>; Department of Oncology, Phase 1 Unit, Rigshospitalet, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Barra+C%22">Barra C</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.<br /><searchLink fieldCode="AU" term="%22Nielsen+M%22">Nielsen M</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.; Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina.<br /><searchLink fieldCode="AU" term="%22Hadrup+SR%22">Hadrup SR</searchLink>; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101560960%22">Frontiers in immunology</searchLink> [Front Immunol] 2024 Apr 03; Vol. 15, pp. 1360281. <i>Date of Electronic Publication: </i>2024 Apr 03 (<i>Print Publication: </i>2024). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101560960 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1664-3224 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216643224%22">16643224 </searchLink><i>NLM ISO Abbreviation: </i>Front Immunol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38633261 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fimmu.2024.1360281 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1360281 Titles: – TitleFull: IMPROVE: a feature model to predict neoepitope immunogenicity through broad-scale validation of T-cell recognition. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Borch A – PersonEntity: Name: NameFull: Carri I – PersonEntity: Name: NameFull: Reynisson B – PersonEntity: Name: NameFull: Alvarez HMG – PersonEntity: Name: NameFull: Munk KK – PersonEntity: Name: NameFull: Montemurro A – PersonEntity: Name: NameFull: Kristensen NP – PersonEntity: Name: NameFull: Tvingsholm SA – PersonEntity: Name: NameFull: Holm JS – PersonEntity: Name: NameFull: Heeke C – PersonEntity: Name: NameFull: Moss KH – PersonEntity: Name: NameFull: Hansen UK – PersonEntity: Name: NameFull: Schaap-Johansen AL – PersonEntity: Name: NameFull: Bagger FO – PersonEntity: Name: NameFull: de Lima VAB – PersonEntity: Name: NameFull: Rohrberg KS – PersonEntity: Name: NameFull: Funt SA – PersonEntity: Name: NameFull: Donia M – PersonEntity: Name: NameFull: Svane IM – PersonEntity: Name: NameFull: Lassen U – PersonEntity: Name: NameFull: Barra C – PersonEntity: Name: NameFull: Nielsen M – PersonEntity: Name: NameFull: Hadrup SR IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 04 Text: 2024 Apr 03 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1664-3224 Numbering: – Type: volume Value: 15 Titles: – TitleFull: Frontiers in immunology Type: main |
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