Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30985
Title: Recognition motifs for importin 4 [(L)PPRS(G/P)P] and importin 5 [KP(K/Y)LV] binding, identified by bio-informatic simulation and experimental in vitro validation
Authors: Panagiotopoulos, Athanasios 
Kalyvianaki, Konstantina 
Tsodoulou, Paraskevi K 
Darivianaki, Maria N 
Dellis, Dimitris 
Notas, George 
Daskalakis, Vangelis 
Theodoropoulos, Panayiotis A 
Panagiotidis, Christos Α 
Castanas, Elias 
Kampa, Marilena 
Major Field of Science: Engineering and Technology
Field Category: Chemical Engineering
Keywords: IPO4;Importin 4;Importin 5;Karyopherins;Nuclear localization signal (NLS)
Issue Date: 2022
Source: Computational and Structural Biotechnology Journal, 2022, vol. 20, pp. 5952 - 5961
Volume: 20
Start page: 5952
End page: 5961
Journal: Computational and Structural Biotechnology Journal 
Abstract: Nuclear translocation of large proteins is mediated through karyopherins, carrier proteins recognizing specific motifs of cargo proteins, known as nuclear localization signals (NLS). However, only few NLS signals have been reported until now. In the present work, NLS signals for Importins 4 and 5 were identified through an unsupervised in silico approach, followed by experimental in vitro validation. The sequences LPPRS(G/P)P and KP(K/Y)LV were identified and are proposed as recognition motifs for Importins 4 and 5 binding, respectively. They are involved in the trafficking of important proteins into the nucleus. These sequences were validated in the breast cancer cell line T47D, which expresses both Importins 4 and 5. Elucidating the complex relationships of the nuclear transporters and their cargo proteins is very important in better understanding the mechanism of nuclear transport of proteins and laying the foundation for the development of novel therapeutics, targeting specific importins.
URI: https://hdl.handle.net/20.500.14279/30985
ISSN: 20010370
DOI: 10.1016/j.csbj.2022.10.015
Rights: © The Authors
Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : University of Crete 
Aristotle University of Thessaloniki 
National Infrastructures for Research and Technology 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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