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De Novo Design of Peptide Binders to Conformationally Diverse Targets with Contrastive Language Modeling.

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Title: De Novo Design of Peptide Binders to Conformationally Diverse Targets with Contrastive Language Modeling.
Authors: Bhat S; Department of Biomedical Engineering, Duke University., Palepu K; Department of Biomedical Engineering, Duke University., Hong L; Department of Biomedical Engineering, Duke University., Mao J; Department of Cell Biology, Duke University., Ye T; Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA., Iyer R; Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Institute, San Diego, CA, USA., Zhao L; Department of Biomedical Engineering, Duke University., Chen T; Department of Biomedical Engineering, Duke University., Vincoff S; Department of Biomedical Engineering, Duke University., Watson R; Department of Biomedical Engineering, Duke University., Wang T; Department of Biomedical Engineering, Duke University., Srijay D; Department of Biomedical Engineering, Duke University., Kavirayuni VS; Department of Biomedical Engineering, Duke University., Kholina K; Department of Biomedical Engineering, Duke University., Goel S; Department of Biomedical Engineering, Duke University., Vure P; Department of Biomedical Engineering, Duke University., Desphande AJ; Cancer Genome and Epigenetics Program, Sanford Burnham Prebys Institute, San Diego, CA, USA., Soderling SH; Department of Cell Biology, Duke University., DeLisa MP; Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA.; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.; Cornell Institute of Biotechnology, Cornell University, Ithaca, NY, USA., Chatterjee P; Department of Biomedical Engineering, Duke University.; Department of Computer Science, Duke University.; Department of Biostatistics and Bioinformatics, Duke University.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2024 Jul 22. Date of Electronic Publication: 2024 Jul 22.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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              Text: 2024 Jul 22
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