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      Biophysical Determinants for Cellular Uptake of Hydrocarbon-Stapled Peptide Helices

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          Abstract

          Hydrocarbon-stapled peptides are a class of bioactive alpha-helical ligands developed to dissect and target protein interactions. While there is consensus that stapled peptides can be effective chemical tools for investigating protein regulation, their broader utility for therapeutic modulation of intracellular interactions remains an active area of study. In particular, the design principles for generating cell-permeable stapled peptides are empiric, yet consistent intracellular access is essential to in vivo application. Here, we used an unbiased statistical approach to determine which biophysical parameters dictate the uptake of stapled peptide libraries. We found that staple placement at the amphipathic boundary combined with optimal hydrophobic and helical content are the key drivers of cellular uptake, whereas excess hydrophobicity and positive charge at isolated amino acid positions can trigger membrane lysis at elevated peptide dosing. Our results provide a design roadmap for maximizing the potential to generate cell-permeable stapled peptides with on-mechanism cellular activity.

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          Most cited references27

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          Relations Between Two Sets of Variates

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            Analysis of a complex of statistical variables into principal components.

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              On lines and planes of closest fit to systems of points in space

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                Author and article information

                Journal
                101231976
                32624
                Nat Chem Biol
                Nat. Chem. Biol.
                Nature chemical biology
                1552-4450
                1552-4469
                2 June 2016
                22 August 2016
                October 2016
                22 February 2017
                : 12
                : 10
                : 845-852
                Affiliations
                [1 ]Department of Pediatric Oncology, Linde Program in Cancer Chemical Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215
                [2 ]Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215
                Author notes
                [* ]Correspondence: Loren D. Walensky, MD, PhD, Dana-Farber Cancer Institute, 450 Brookline Avenue, LC3216, Boston, MA 02215, Phone: 617-632-6307, Fax: 617-582-8240, loren_walensky@ 123456dfci.harvard.edu
                Article
                NIHMS789744
                10.1038/nchembio.2153
                5055751
                27547919
                a2821e0b-3a14-4262-9e6e-c53a7779cb38

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

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                Biochemistry
                Biochemistry

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