The Structural Basis of Peptide-Protein Binding Strategies

被引:316
|
作者
London, Nir [1 ]
Movshovitz-Attias, Dana [2 ]
Schueler-Furman, Ora [1 ]
机构
[1] Hebrew Univ Jerusalem, Dept Microbiol & Mol Genet, Inst Med Res IMRIC, Fac Med, IL-91120 Jerusalem, Israel
[2] Hebrew Univ Jerusalem, Sch Engn & Comp Sci, IL-91904 Jerusalem, Israel
基金
以色列科学基金会;
关键词
MOLECULAR RECOGNITION FEATURES; CONFORMATIONAL-CHANGE; DOMAIN; ASSOCIATION; PREFERENCES; SYSTEMS; SEARCH; DESIGN; ENERGY;
D O I
10.1016/j.str.2009.11.012
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
Peptide-protein interactions are very prevalent, mediating key processes such as signal transduction and protein trafficking. How can peptides overcome the entropic cost involved in switching from an unstructured, flexible peptide to a rigid, well-defined bound structure? A structure-based analysis of peptide-protein interactions unravels that most peptides do not induce conformational changes on their partner upon binding, thus minimizing the entropic cost of binding. Furthermore, peptides display interfaces that are better packed than protein-protein interfaces and contain significantly more hydrogen bonds, mainly those involving the peptide backbone. Additionally, "hot spot" residues contribute most of the binding energy. Finally, peptides tend to bind in the largest pockets available on the protein surface. Our study is based on peptiDB, a new and comprehensive data set of 103 high-resolution peptide-protein complex structures. In addition to improved understanding of peptide-protein interactions, our findings have direct implications for the structural modeling, design, and manipulation of these interactions.
引用
收藏
页码:188 / 199
页数:12
相关论文
共 50 条
  • [1] Two-dimensional model for peptide-protein binding
    Cresson-Tarsa, CM
    Stillinger, FH
    Torquato, S
    McLendon, GL
    BIOCHEMISTRY, 2003, 42 (28) : 8632 - 8633
  • [2] Two-dimensional model for peptide-protein binding.
    Cresson-Tarsa, CM
    Stillinger, FH
    Torquato, S
    McLendon, GL
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2003, 226 : U178 - U178
  • [3] Conformational energies and entropies of peptides, and the peptide-protein binding problem
    Unal, E. Besray
    Gursoy, Attila
    Erman, Burak
    PHYSICAL BIOLOGY, 2009, 6 (03)
  • [4] 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
  • [5] Magnetic resonance imaging detects a specific peptide-protein binding event
    De León-Rodríguez, LM
    Ortiz, A
    Weiner, AL
    Zhang, SR
    Kovacs, Z
    Kodadek, T
    Sherry, AD
    JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2002, 124 (14) : 3514 - 3515
  • [6] THE STRUCTURAL BASIS OF SEQUENCE-INDEPENDENT PEPTIDE BINDING BY OPPA PROTEIN
    TAME, JRH
    MURSHUDOV, GN
    DODSON, EJ
    NEIL, TK
    DODSON, GG
    HIGGINS, CF
    WILKINSON, AJ
    SCIENCE, 1994, 264 (5165) : 1578 - 1581
  • [7] Modeling peptide-protein binding with information accelerated molecular dynamics simulation
    Morrone, Joseph
    Perez, Alberto
    Dill, Ken
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [8] Learning a peptide-protein binding affinity predictor with kernel ridge regression
    Giguere, Sebastien
    Marchand, Mario
    Laviolette, Francois
    Drouin, Alexandre
    Corbeil, Jacques
    BMC BIOINFORMATICS, 2013, 14
  • [9] Learning a peptide-protein binding affinity predictor with kernel ridge regression
    Sébastien Giguère
    Mario Marchand
    François Laviolette
    Alexandre Drouin
    Jacques Corbeil
    BMC Bioinformatics, 14
  • [10] Getting Insights into Structural and Energetic Properties of Reciprocal Peptide-Protein Interactions
    Trisciuzzi, Daniela
    Siragusa, Lydia
    Baroni, Massimo
    Autiero, Ida
    Nicolotti, Orazio
    Cruciani, Gabriele
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2022, 62 (04) : 1113 - 1125