Peptide-protein interactions studied by surface plasmon and nuclear magnetic resonances

被引:25
|
作者
Spiga, O
Bernini, A
Scarselli, M
Ciutti, A
Bracci, L
Lozzi, L
Lelli, B
Di Maro, D
Calamandrei, D
Niccolai, N
机构
[1] Univ Siena, Biomol Struct Res Ctr, I-53100 Siena, Italy
[2] Univ Siena, Dept Biol Mol, I-53100 Siena, Italy
[3] BIOMODEM Pscrl, I-53100 Siena, Italy
关键词
peptide-protein affinity; protein complex; ligand design; intermolecular nuclear Overhauser effects; nuclear magnetic resonance; surface plasmon resonance;
D O I
10.1016/S0014-5793(01)03274-4
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The structural features of the complexes that (chi-bungarotoxin forms with three different synthetic peptides, mimotopes of the nicotinic acetylcholine receptor binding site, have been compared to the corresponding nuclear magnetic resonance (NMR) and surface plasmon resonance (SPR) data. For the considered peptides, the observed different affinities towards the toxin could not be accounted simply by static structural considerations. A combined analysis of the SPR- and NMR-derived dynamic parameters shows new correlations between complex formation and dissociation and the overall pattern of intramolecular and intermolecular nuclear Overhauser effects. These features could be crucial for a rational design of protein ligands. (C) 2002 Federation of European Biochemical Societies. Published by Elsevier Science B.V. All rights reserved.
引用
收藏
页码:33 / 35
页数:3
相关论文
共 50 条
  • [1] PEPTIDE-PROTEIN INTERACTION AS STUDIED BY GEL FILTRATION
    FAIRCLOUGH, GF
    FRUTON, JS
    BIOCHEMISTRY, 1966, 5 (02) : 673 - +
  • [2] Meld: Modeling Peptide-Protein Interactions
    Perez, Alberto
    MacCallum, Justin
    Dill, Ken A.
    BIOPHYSICAL JOURNAL, 2013, 104 (02) : 399A - 399A
  • [3] A novel proteomic screen for peptide-protein interactions
    Schulze, WX
    Mann, M
    JOURNAL OF BIOLOGICAL CHEMISTRY, 2004, 279 (11) : 10756 - 10764
  • [4] Peptide-protein microarrays and surface plasmon resonance detection: Biosensors for versatile biomolecular interaction analysis
    Villiers, Marie-Bernadette
    Cortes, Sandra
    Brakha, Carine
    Lavergne, Jean-Pierre
    Marquette, Christophe A.
    Deny, Paul
    Livache, Thierry
    Marche, Patrice N.
    BIOSENSORS & BIOELECTRONICS, 2010, 26 (04): : 1554 - 1559
  • [5] Comparison of two docking methods for peptide-protein interactions
    Yu, Qiuying
    Wang, Fangyu
    Hu, Xiaofei
    Xing, Guangxu
    Deng, Ruiguang
    Guo, Junqing
    Cheng, Anchun
    Wang, Jing
    Hao, Junfang
    Zhao, Dong
    Teng, Man
    Zhang, Gaiping
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2018, 98 (10) : 3722 - 3727
  • [6] TPepPro: a deep learning model for predicting peptide-protein interactions
    Jin, Xiaohong
    Chen, Zimeng
    Yu, Dan
    Jiang, Qianhui
    Chen, Zhuobin
    Yan, Bin
    Qin, Jing
    Liu, Yong
    Wang, Junwen
    BIOINFORMATICS, 2024, 41 (01)
  • [7] SPECIFIC PEPTIDE-PROTEIN INTERACTIONS IN THE RIBONUCLEASE-S' SYSTEM STUDIED BY C-13 NUCLEAR MAGNETIC-RESONANCE SPECTROSCOPY WITH SELECTIVELY C-13-ENRICHED PEPTIDES
    NIU, C
    MATSUURA, S
    SHINDO, H
    COHEN, JS
    JOURNAL OF BIOLOGICAL CHEMISTRY, 1979, 254 (10) : 3788 - 3796
  • [8] Describing peptide-protein and protein-protein interactions with molecular dynamics simulation
    Morrone, Joseph
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 254
  • [9] PepBDB: a comprehensive structural database of biological peptide-protein interactions
    Wen, Zeyu
    He, Jiahua
    Tao, Huanyu
    Huang, Sheng-You
    BIOINFORMATICS, 2019, 35 (01) : 175 - 177
  • [10] Peptide-Protein Interactions: From Drug Design to Supramolecular Biomaterials
    Caporale, Andrea
    Adorinni, Simone
    Lamba, Doriano
    Saviano, Michele
    MOLECULES, 2021, 26 (05):