دورية أكاديمية
أعرض في EDS

Quantitative self-assembly prediction yields targeted nanomedicines.

التفاصيل البيبلوغرافية
العنوان: Quantitative self-assembly prediction yields targeted nanomedicines.
المؤلفون: Shamay Y; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa, Israel., Shah J; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Işık M; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Tri-Institutional PhD Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Mizrachi A; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Department of Otolaryngology Head and Neck Surgery, Rabin Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel., Leibold J; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Tschaharganeh DF; Helmholtz-University Group 'Cell Plasticity and Epigenetic Remodeling', German Cancer Research Center (DKFZ) & Institute of Pathology University Hospital, Heidelberg, Germany., Roxbury D; Department of Chemical Engineering, University of Rhode Island, Kingston, RI, 02881, USA., Budhathoki-Uprety J; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Nawaly K; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Sugarman JL; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Baut E; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Weill Cornell Medical College, Cornell University, New York, NY, USA., Neiman MR; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Dacek M; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Weill Cornell Medical College, Cornell University, New York, NY, USA., Ganesh KS; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Weill Cornell Medical College, Cornell University, New York, NY, USA., Johnson DC; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Tri-Institutional PhD Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Sridharan R; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Weill Cornell Medical College, Cornell University, New York, NY, USA., Chu KL; Memorial Sloan Kettering Cancer Center, New York, NY, USA.; Weill Cornell Medical College, Cornell University, New York, NY, USA., Rajasekhar VK; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Lowe SW; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Chodera JD; Memorial Sloan Kettering Cancer Center, New York, NY, USA., Heller DA; Memorial Sloan Kettering Cancer Center, New York, NY, USA. hellerd@mskcc.org.; Weill Cornell Medical College, Cornell University, New York, NY, USA. hellerd@mskcc.org.
المصدر: Nature materials [Nat Mater] 2018 Apr; Vol. 17 (4), pp. 361-368. Date of Electronic Publication: 2018 Feb 05.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101155473 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4660 (Electronic) Linking ISSN: 14761122 NLM ISO Abbreviation: Nat Mater Subsets: MEDLINE
أسماء مطبوعة: Original Publication: London, UK : Nature Pub. Group, [2002]-
مواضيع طبية MeSH: Drug Carriers/*chemistry , Nanomedicine/*methods, Animals ; Antineoplastic Agents/chemistry ; Antineoplastic Agents/pharmacology ; Drug Carriers/metabolism ; Drug Carriers/pharmacokinetics ; Endocytosis ; Indoles/chemistry ; Mice ; Nanoparticles/chemistry ; Particle Size ; Tissue Distribution
مستخلص: Development of targeted nanoparticle drug carriers often requires complex synthetic schemes involving both supramolecular self-assembly and chemical modification. These processes are generally difficult to predict, execute, and control. We describe herein a targeted drug delivery system that is accurately and quantitatively predicted to self-assemble into nanoparticles based on the molecular structures of precursor molecules, which are the drugs themselves. The drugs assemble with the aid of sulfated indocyanines into particles with ultrahigh drug loadings of up to 90%. We devised quantitative structure-nanoparticle assembly prediction (QSNAP) models to identify and validate electrotopological molecular descriptors as highly predictive indicators of nano-assembly and nanoparticle size. The resulting nanoparticles selectively targeted kinase inhibitors to caveolin-1-expressing human colon cancer and autochthonous liver cancer models to yield striking therapeutic effects while avoiding pERK inhibition in healthy skin. This finding enables the computational design of nanomedicines based on quantitative models for drug payload selection.
التعليقات: Comment in: Trends Cancer. 2018 Jun;4(6):397-399. (PMID: 29860981)
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معلومات مُعتمدة: T32 CA062948 United States CA NCI NIH HHS; P30 CA008748 United States CA NCI NIH HHS; P01 CA013106 United States CA NCI NIH HHS; DP2 HD075698 United States HD NICHD NIH HHS; U54 OD020355 United States OD NIH HHS
المشرفين على المادة: 0 (Antineoplastic Agents)
0 (Drug Carriers)
0 (Indoles)
تواريخ الأحداث: Date Created: 20180207 Date Completed: 20190510 Latest Revision: 20220716
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC5930166
DOI: 10.1038/s41563-017-0007-z
PMID: 29403054
قاعدة البيانات: MEDLINE
الوصف
تدمد:1476-4660
DOI:10.1038/s41563-017-0007-z