Research Article
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Year 2022, Volume: 8 Issue: 6, 810 - 820, 04.11.2022
https://doi.org/10.18621/eurj.1011372

Abstract

References

  • 1. Hönig J, Rordorf-Adam C, Siegmund C, Wiedemann W, Erard F. Increased interleukin-1 beta (IL-1 beta) concentration in gingival tissue from periodontitis patients. J Periodontal Res 1989;24:362-7.
  • 2. Muzio M, Ni J, Feng P, Dixit VM. IRAK (Pelle) family member IRAK-2 and MyD88 as proximal mediators of IL-1 signaling. Science 1997;278:1612-5.
  • 3. MacGillivray MK, Cruz TF, McCulloch CAG. The recruitment of the interleukin-1 (IL-1) receptor-associated kinase (IRAK) into focal adhesion complexes is required for IL-1beta-induced ERK activation. J Biol Chem 2000;275:23509-15.
  • 4. Arora PD, Ma J, Min W, Cruz T, McCulloch CAG. Interleukin-1-induced calcium flux in human fibroblasts is mediated through focal adhesions. J Biol Chem 1995;270:6042-9.
  • 5. Lo YYC, Luo L, McCulloch CAG, Cruz TF. Requirements of focal adhesions and calcium fluxes for interleukin-1-induced ERK kinase activation and c-fos expression in fibroblasts. J Biol Chem 1998;273:7059-65.
  • 6. Wang Q, Rajshankar D, Laschinger C, Talior-Volodarsky I, Wang Y, Downey GP, et al. Importance of protein-tyrosine phosphatase-alfa catalytic domains for interactions with SHP-2 and interleukin-1-induced matrix metalloproteinase-3 expression. J Biol Chem 2010;285:22308-17.
  • 7. Stark BC, Lanier MH, Cooper JA. CARMIL family proteins as multidomain regulators of actin-based motility. Mol Biol Cell 2017;28:1713-23.
  • 8. Yang C, Pring M, Wear MA, Huang M, Cooper JA, Svitkina TM, et al. Mammalian CARMIL inhibits actin filament capping by capping protein. Dev Cell 2005;9:209-21.
  • 9. Zwolak A, Yang C, Feeser EA, Ostap EM, Svitkina T, Dominguez R. CARMIL leading edge localization depends on a non-canonical PH domain and dimerization. Nat Commun 2013;4:1-10.
  • 10. Wang Q, Notay K, Downey GP, McCulloch CA. The leucine-rich repeat region of CARMIL1 regulates IL-1-mediated ERK activation, MMP expression, and collagen degradation. Cell Rep 2020;31:107781.
  • 11. Akçeşme FB, Beşli N, Peña-García J, Pérez-Sánchez H. Assessment of interaction of human OCT 1-3 proteins and metformin using silico analyses. Acta Chimica Slovenica 2020;67:1202-15.
  • 12. Song Y, DiMaio F, Wang RY-R, Kim D, Miles C, Brunette TJ, et al. High-resolution comparative modeling with RosettaCM. Structure 2013;21:1735-42.
  • 13. Raman S, Vernon R, Thompson J, Tyka M, Sadreyev R, Pei J, et al. Structure prediction for CASP8 with all-atom refinement using Rosetta. Proteins Struct Funct Bioinforma 2009;77(S9):89-99.
  • 14. Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, et al. UCSF Chimera--a visualization system for exploratory research and analysis. J Comput Chem 2004;25:1605-12.
  • 15. Waterhouse A, Bertoni M, Bienert S, Studer G, Tauriello G, Gumienny R, et al. SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Res 2018;46(W1):W296-303.
  • 16. Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997;25:3389-402.
  • 17. Yu W, MacKerell AD. Computer-aided drug design methods. In Antibiotics Humana Press, NY, 2017: pp. 85-106.
  • 18. Waterhouse AM, Procter JB, Martin DMA, Clamp M, Barton GJ. Jalview Version 2--a multiple sequence alignment editor and analysis workbench. Bioinformatics 2009;25:1189-91.
  • 19. Schrödinger, LLC. The {PyMOL} Molecular Graphics System, Version~1.8. Nov 2015.
  • 20. Quignot C, Rey J, Yu J, Tufféry P, Guerois R, Andreani J. InterEvDock2: an expanded server for protein docking using evolutionary and biological information from homology models and multimeric inputs. Nucleic Acids Res 2018;46(W1):W408-16.
  • 21. Yu J, Vavrusa M, Andreani J, Rey J, Tufféry P, Guerois R. InterEvDock: a docking server to predict the structure of protein--protein interactions using evolutionary information. Nucleic Acids Res 2016;44(W1):W542-9.
  • 22. Andreani J, Faure G, Guerois R. InterEvScore: a novel coarse-grained interface scoring function using a multi-body statistical potential coupled to evolution. Bioinformatics 2013;29:1742-9.
  • 23. Dong GQ, Fan H, Schneidman-Duhovny D, Webb B, Sali A. Optimized atomic statistical potentials: assessment of protein interfaces and loops. Bioinformatics 2013;29:3158-66.
  • 24. Ramirez-Aportela E, López-Blanco JR, Chacón P. FRODOCK 2.0: fast protein--protein docking server. Bioinformatics 2016;32:2386-8.
  • 25. Williams CJ, Headd JJ, Moriarty NW, Prisant MG, Videau LL, Deis LN, et al. MolProbity: more and better reference data for improved all-atom structure validation. Protein Sci 2018;27:293-315.
  • 26. Richardson JS. The anatomy and taxonomy of protein structure. In: Advances in protein chemistry Elsevier, 1981: pp. 167-339.
  • 27 Kobe B, Kajava A V. The leucine-rich repeat as a protein recognition motif. Curr Opin Struct Biol 2001;11:725-32.

The in silico interaction analysis of CARMIL1 protein-containing leucine-rich repeat (LRR) regions with interleukin-1 receptor-associated kinase 1 (IRAK1) protein and LLR peptide

Year 2022, Volume: 8 Issue: 6, 810 - 820, 04.11.2022
https://doi.org/10.18621/eurj.1011372

Abstract

Objectives: Capping protein Arp2/3 and myosin-I linker protein 1 (CARMIL1) encoded by the CARMIL, is a major, multidomain, membrane-linked protein regulating actin assembly; however, its function in inflammatory signaling is not fully elucidated. The leucine-rich repeat (LRR) region of CARMIL1 has been associated with interleukin (IL)-1 receptor-associated kinase (IRAK) in fibroblasts by many methods including tandem mass tag mass spectrometry, immunoprecipitation, and CRISPR-Cas9. This study, therefore, set out to assess the interaction of CARMIL1 with each IRAK1 protein and a novel LRR peptide.


Methods:
The molecular docking techniques were employed to compare the binding modes and affinities of the 3D structure of CARMIL1 each of LRR peptides and IRAK1 protein. 3D structure model of CARMIL1 protein and LRR peptide was predicted through Robetta tool considering the structures and function of these proteins.

Results: As an overall conclusion of docking, the LRR peptide was observed to contact the residues in the LRR 1-2 of the human CARMIL1, whereas the IRAK1 protein was to interact with the residues in the LRR 1, 2, and 10 regions of the human CARMIL1.

Conclusions: Our computational results suggest that LRRs in CARMIL1 are involved in the formation of protein-peptide binding interfaces with its structural conformation.

References

  • 1. Hönig J, Rordorf-Adam C, Siegmund C, Wiedemann W, Erard F. Increased interleukin-1 beta (IL-1 beta) concentration in gingival tissue from periodontitis patients. J Periodontal Res 1989;24:362-7.
  • 2. Muzio M, Ni J, Feng P, Dixit VM. IRAK (Pelle) family member IRAK-2 and MyD88 as proximal mediators of IL-1 signaling. Science 1997;278:1612-5.
  • 3. MacGillivray MK, Cruz TF, McCulloch CAG. The recruitment of the interleukin-1 (IL-1) receptor-associated kinase (IRAK) into focal adhesion complexes is required for IL-1beta-induced ERK activation. J Biol Chem 2000;275:23509-15.
  • 4. Arora PD, Ma J, Min W, Cruz T, McCulloch CAG. Interleukin-1-induced calcium flux in human fibroblasts is mediated through focal adhesions. J Biol Chem 1995;270:6042-9.
  • 5. Lo YYC, Luo L, McCulloch CAG, Cruz TF. Requirements of focal adhesions and calcium fluxes for interleukin-1-induced ERK kinase activation and c-fos expression in fibroblasts. J Biol Chem 1998;273:7059-65.
  • 6. Wang Q, Rajshankar D, Laschinger C, Talior-Volodarsky I, Wang Y, Downey GP, et al. Importance of protein-tyrosine phosphatase-alfa catalytic domains for interactions with SHP-2 and interleukin-1-induced matrix metalloproteinase-3 expression. J Biol Chem 2010;285:22308-17.
  • 7. Stark BC, Lanier MH, Cooper JA. CARMIL family proteins as multidomain regulators of actin-based motility. Mol Biol Cell 2017;28:1713-23.
  • 8. Yang C, Pring M, Wear MA, Huang M, Cooper JA, Svitkina TM, et al. Mammalian CARMIL inhibits actin filament capping by capping protein. Dev Cell 2005;9:209-21.
  • 9. Zwolak A, Yang C, Feeser EA, Ostap EM, Svitkina T, Dominguez R. CARMIL leading edge localization depends on a non-canonical PH domain and dimerization. Nat Commun 2013;4:1-10.
  • 10. Wang Q, Notay K, Downey GP, McCulloch CA. The leucine-rich repeat region of CARMIL1 regulates IL-1-mediated ERK activation, MMP expression, and collagen degradation. Cell Rep 2020;31:107781.
  • 11. Akçeşme FB, Beşli N, Peña-García J, Pérez-Sánchez H. Assessment of interaction of human OCT 1-3 proteins and metformin using silico analyses. Acta Chimica Slovenica 2020;67:1202-15.
  • 12. Song Y, DiMaio F, Wang RY-R, Kim D, Miles C, Brunette TJ, et al. High-resolution comparative modeling with RosettaCM. Structure 2013;21:1735-42.
  • 13. Raman S, Vernon R, Thompson J, Tyka M, Sadreyev R, Pei J, et al. Structure prediction for CASP8 with all-atom refinement using Rosetta. Proteins Struct Funct Bioinforma 2009;77(S9):89-99.
  • 14. Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, et al. UCSF Chimera--a visualization system for exploratory research and analysis. J Comput Chem 2004;25:1605-12.
  • 15. Waterhouse A, Bertoni M, Bienert S, Studer G, Tauriello G, Gumienny R, et al. SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Res 2018;46(W1):W296-303.
  • 16. Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997;25:3389-402.
  • 17. Yu W, MacKerell AD. Computer-aided drug design methods. In Antibiotics Humana Press, NY, 2017: pp. 85-106.
  • 18. Waterhouse AM, Procter JB, Martin DMA, Clamp M, Barton GJ. Jalview Version 2--a multiple sequence alignment editor and analysis workbench. Bioinformatics 2009;25:1189-91.
  • 19. Schrödinger, LLC. The {PyMOL} Molecular Graphics System, Version~1.8. Nov 2015.
  • 20. Quignot C, Rey J, Yu J, Tufféry P, Guerois R, Andreani J. InterEvDock2: an expanded server for protein docking using evolutionary and biological information from homology models and multimeric inputs. Nucleic Acids Res 2018;46(W1):W408-16.
  • 21. Yu J, Vavrusa M, Andreani J, Rey J, Tufféry P, Guerois R. InterEvDock: a docking server to predict the structure of protein--protein interactions using evolutionary information. Nucleic Acids Res 2016;44(W1):W542-9.
  • 22. Andreani J, Faure G, Guerois R. InterEvScore: a novel coarse-grained interface scoring function using a multi-body statistical potential coupled to evolution. Bioinformatics 2013;29:1742-9.
  • 23. Dong GQ, Fan H, Schneidman-Duhovny D, Webb B, Sali A. Optimized atomic statistical potentials: assessment of protein interfaces and loops. Bioinformatics 2013;29:3158-66.
  • 24. Ramirez-Aportela E, López-Blanco JR, Chacón P. FRODOCK 2.0: fast protein--protein docking server. Bioinformatics 2016;32:2386-8.
  • 25. Williams CJ, Headd JJ, Moriarty NW, Prisant MG, Videau LL, Deis LN, et al. MolProbity: more and better reference data for improved all-atom structure validation. Protein Sci 2018;27:293-315.
  • 26. Richardson JS. The anatomy and taxonomy of protein structure. In: Advances in protein chemistry Elsevier, 1981: pp. 167-339.
  • 27 Kobe B, Kajava A V. The leucine-rich repeat as a protein recognition motif. Curr Opin Struct Biol 2001;11:725-32.
There are 27 citations in total.

Details

Primary Language English
Subjects Biochemistry and Cell Biology (Other)
Journal Section Original Articles
Authors

Nail Beşli 0000-0002-6174-915X

Güven Yenmiş 0000-0002-6688-9725

Publication Date November 4, 2022
Submission Date October 18, 2021
Acceptance Date June 21, 2022
Published in Issue Year 2022 Volume: 8 Issue: 6

Cite

AMA Beşli N, Yenmiş G. The in silico interaction analysis of CARMIL1 protein-containing leucine-rich repeat (LRR) regions with interleukin-1 receptor-associated kinase 1 (IRAK1) protein and LLR peptide. Eur Res J. November 2022;8(6):810-820. doi:10.18621/eurj.1011372

e-ISSN: 2149-3189 


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