Synthesis and optimization of stapled DOCK peptides with improved drug-like properties

被引:0
|
作者
Theppawong, Atiruj [1 ]
De Geyter, Ewout [1 ]
Madder, Annemieke [1 ]
机构
[1] Univ Ghent, Dept Organ & Macromol Chem, Krijgslaan 281 S4, B-9000 Ghent, Belgium
关键词
Solid-phase peptide synthesis; SPPS; stapled peptide method optimization; ELMO; DOCK; ELMO/DOCK interaction; helix stability; CYCLIC-PEPTIDES; RAC ACTIVATION; PROTEIN; ELMO1; DESIGN; INHIBITORS; STABILITY; SEQUENCE; OXYMA;
D O I
10.24820/ark.5550190.p012.170
中图分类号
O62 [有机化学];
学科分类号
070303 ; 081704 ;
摘要
Protein -protein interactions (PPIs) involving short alpha-helix fragments are of critical importance in cellular processes. Stapling of alpha-helical peptides improves their conformational stability, affinity, and resistance to proteases. ELMO proteins (ELMO1 and ELMO2) play a crucial role in cellular processes, and recent studies highlight ELMO1's distinct role in interacting with, and modulating, DOCK2 levels. To harness the full therapeutic potential of peptides mimicking the DOCK protein for interference with the ELMO/DOCK interaction, we propose employing deoxycholic acid and conventional small molecules for stapling, thus enhancing the therapeutic potential of these peptides. Our method employs solid -phase peptide synthesis, strategically incorporating two cysteine amino acids to create well-defined, constrained cyclic peptides upon stapling. In addition to their structural stabilisation, these stapled peptides exhibit remarkable proteolytic stability, defying enzymatic degradation, even in the presence of human serum.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 50 条
  • [21] Synthesis and Evaluation of Novel Tetrahydronaphthyridine CXCR4 Antagonists with Improved Drug-like Profiles
    Jecs, Edgars
    Tahirovic, Yesim A.
    Wilson, Robert J.
    Miller, Eric J.
    Kim, Michelle
    Truax, Valarie
    Nguyen, Huy H.
    Akins, Nicholas S.
    Saindane, Manohar
    Wang, Tao
    Sum, Chi S.
    Cvijic, Mary E.
    Schroeder, Gretchen M.
    Burton, Samantha L.
    Derdeyn, Cynthia A.
    Xu, Lingjie
    Jiang, Yi
    Wilson, Lawrence J.
    Liotta, Dennis C.
    JOURNAL OF MEDICINAL CHEMISTRY, 2022, 65 (05) : 4058 - 4084
  • [22] Copper-mediated synthesis of drug-like bicyclopentanes
    Zhang, Xiaheng
    Smith, Russell T.
    Le, Chip
    McCarver, Stefan J.
    Shireman, Brock T.
    Carruthers, Nicholas I.
    MacMillan, David W. C.
    NATURE, 2020, 580 (7802) : 220 - +
  • [23] Copper-mediated synthesis of drug-like bicyclopentanes
    Xiaheng Zhang
    Russell T. Smith
    Chip Le
    Stefan J. McCarver
    Brock T. Shireman
    Nicholas I. Carruthers
    David W. C. MacMillan
    Nature, 2020, 580 : 220 - 226
  • [24] Electronic properties and intermolecular binding in drug-like molecules
    Clark, Tim
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2009, 238
  • [25] Molecular properties that influence oral drug-like behavior
    Lajiness, MS
    Vieth, M
    Erickson, J
    CURRENT OPINION IN DRUG DISCOVERY & DEVELOPMENT, 2004, 7 (04) : 470 - 477
  • [26] QMugs, quantum mechanical properties of drug-like molecules
    Isert, Clemens
    Atz, Kenneth
    Jimenez-Luna, Jose
    Schneider, Gisbert
    SCIENTIFIC DATA, 2022, 9 (01)
  • [27] Chemoinformatics - predicting the physicochemical properties of 'drug-like' molecules
    Blake, JF
    CURRENT OPINION IN BIOTECHNOLOGY, 2000, 11 (01) : 104 - 107
  • [28] QMugs, quantum mechanical properties of drug-like molecules
    Clemens Isert
    Kenneth Atz
    José Jiménez-Luna
    Gisbert Schneider
    Scientific Data, 9
  • [29] SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials
    Eastman, Peter
    Behara, Pavan Kumar
    Dotson, David L.
    Galvelis, Raimondas
    Herr, John E.
    Horton, Josh T.
    Mao, Yuezhi
    Chodera, John D.
    Pritchard, Benjamin P.
    Wang, Yuanqing
    De Fabritiis, Gianni
    Markland, Thomas E.
    SCIENTIFIC DATA, 2023, 10 (01)
  • [30] SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials
    Peter Eastman
    Pavan Kumar Behara
    David L. Dotson
    Raimondas Galvelis
    John E. Herr
    Josh T. Horton
    Yuezhi Mao
    John D. Chodera
    Benjamin P. Pritchard
    Yuanqing Wang
    Gianni De Fabritiis
    Thomas E. Markland
    Scientific Data, 10