Investigation of the Josephin Domain Protein-Protein Interaction by Molecular Dynamics

被引:26
|
作者
Deriu, Marco A. [1 ]
Grasso, Gianvito [1 ]
Licandro, Ginevra [1 ]
Danani, Andrea [1 ]
Gallo, Diego [2 ]
Tuszynski, Jack A. [3 ]
Morbiducci, Umberto [2 ]
机构
[1] Univ Appl Sci & Arts Southern Switzerland SUPSI, Inst Comp Integrated Mfg Sustainable Innovat, Dept Innovat Technol, Manno, Switzerland
[2] Politecn Torino, Dept Mech & Aerosp Engn, Turin, Italy
[3] Univ Alberta, Dept Phys, Edmonton, AB, Canada
来源
PLOS ONE | 2014年 / 9卷 / 09期
关键词
SECONDARY STRUCTURE ASSIGNMENT; SPINOCEREBELLAR ATAXIA; POLYGLUTAMINE DISEASE; CAG EXPANSIONS; AGGREGATION; SIMULATIONS; FEATURES; FIBRILLOGENESIS; VALIDATION; EFFICIENT;
D O I
10.1371/journal.pone.0108677
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Spinocerebellar ataxia (SCA) 3, the most common form of SCA, is a neurodegenerative rare disease characterized by polyglutamine tract expansion and self-assembly of Ataxin3 (At3) misfolded proteins into highly organized fibrillar aggregates. The At3 N-terminal Josephin Domain (JD) has been suggested as being responsible for mediating the initial phase of the At3 double-step fibrillogenesis. Several issues concerning the residues involved in the JD's aggregation and, more generally, the JD clumping mechanism have not been clarified yet. In this paper we present an investigation focusing on the JD protein-protein interaction by means of molecular modeling. Our results suggest possible aminoacids involved in JD contact together with local and non-local effects following JD dimerization. Surprisingly, JD conformational changes following the binding may involve ubiquitin binding sites and hairpin region even though they do not pertain to the JD interaction surfaces. Moreover, the JD binding event has been found to alter the hairpin open-like conformation toward a closed-like arrangement over the simulated timescale. Finally, our results suggest that the JD aggregation might be a multi-step process, with an initial fast JD-JD binding mainly driven by Arg101, followed by slower structural global rearrangements involving the exposure to the solvent of Leu84-Trp87, which might play a role in a second step of JD aggregation.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Domain-Based Predictive Models for Protein-Protein Interaction Prediction
    Xue-Wen Chen
    Mei Liu
    EURASIP Journal on Advances in Signal Processing, 2006
  • [32] Domain-based predictive models for protein-protein interaction prediction
    Chen, Xue-Wen
    Liu, Mei
    EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, 2006, 2006 (1)
  • [33] Specificity of molecular interactions in transient protein-protein interaction interfaces
    Cho, Kyu-il
    Lee, KiYoung
    Lee, Kwang H.
    Kim, Dongsup
    Lee, Doheon
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2006, 65 (03) : 593 - 606
  • [34] Prediction of human protein-protein interaction by a domain-based approach
    Zhang, Xiaopan
    Jiao, Xiong
    Song, Jie
    Chang, Shan
    JOURNAL OF THEORETICAL BIOLOGY, 2016, 396 : 144 - 153
  • [35] Prediction of Butyrylcholinesterase Function Through Domain Analysis and Protein-Protein Interaction
    Rao, Allam Appa
    Srinivas, Kudipudi
    Rajender, R.
    Das, Undurti N.
    CURRENT NUTRITION & FOOD SCIENCE, 2008, 4 (03) : 176 - 184
  • [36] Domain-based predictive models for protein-protein interaction prediction
    Chen, Xue-Wen
    Liu, Mei
    Eurasip Journal on Applied Signal Processing, 2006, 2006
  • [37] Domain Linker Region Knowledge Contributes to Protein-protein Interaction Prediction
    Zaki, Nazar
    Campbell, Piers
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (IACSIT ICMLC 2009), 2009, : 70 - 74
  • [38] PreSPI: a domain combination based prediction system for protein-protein interaction
    Han, DS
    Kim, HS
    Jang, WH
    Lee, SD
    Suh, JK
    NUCLEIC ACIDS RESEARCH, 2004, 32 (21) : 6312 - 6320
  • [39] Cryptic protein-protein interaction motifs in the cytoplasmic domain of MHCI proteins
    Karla K. Frietze
    Adlai L. Pappy
    Jack W. Melson
    Emily E. O’Driscoll
    Carolyn M. Tyler
    David H. Perlman
    Lisa M. Boulanger
    BMC Immunology, 17
  • [40] Domain combination based protein-protein interaction possibility ranking method
    Han, DS
    Kim, HS
    Jang, WH
    Lee, SD
    BIBE 2004: FOURTH IEEE SYMPOSIUM ON BIOINFORMATICS AND BIOENGINEERING, PROCEEDINGS, 2004, : 434 - 441