Cited by 322Protein Structure and DynamicsAdvanced Proteomics Techniques and ApplicationsProtein Kinase Regulation and GTPase Signaling

Phosphorylation in protein-protein binding: effect on stability and function

Open access
Nishi, Hafumi, Hashimoto, Kosuke, Panchenko, Anna R.·2011·Structure

Abstract

Posttranslational modifications offer a dynamic way to regulate protein activity, subcellular localization, and stability. Here we estimate the effect of phosphorylation on protein binding and function for different types of complexes from human proteome. We find that phosphorylation sites tend to be located on binding interfaces in heterooligomeric and weak transient homooligomeric complexes. Analysis of molecular mechanisms of phosphorylation shows that phosphorylation may modulate the strength of interactions directly on interfaces and that binding hotspots tend to be phosphorylated in heterooligomers. Although the majority of complexes do not show significant estimated stability differences upon phosphorylation or dephosphorylation, for about one-third of all complexes it causes relatively large changes in binding energy. We discuss the cases where phosphorylation mediates the complex formation and regulates the function. We show that phosphorylation sites are more likely to be evolutionary conserved than other interfacial residues.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.str.2011.09.021

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • PTMs are known to function as molecular switches by affecting protein-protein interactions.

    “PTMs are known to function as molecular switches by affecting protein-protein interactions (Chen, Liu et al., 2020, Nishi, Hashimoto et al., 2011).”

    From SHARPIN S146 phosphorylation mediates ARP2/3 interaction, cancer cell invasion and metastasis (2022) · cites this paper as Nishi, Hashimoto et al., 2011

    The Introduction says phosphorylation can modulate the nature and strength of protein-protein interactions, and the Discussion describes reversible phosphorylation as a mechanism for regulating protein activity. This supports the switch-like mechanism for phosphorylation, but the paper does not establish it for PTMs generally. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 58

  1. Abdollah S Macias-Silva M Tsukazaki T Hayashi H Attisano L Wrana JL TbetaRI phosphorylation of Smad2 on Ser465 and Ser467 is required for Smad2-Smad4 complex formation and signaling J Biol Chem 1997 272 27678 27685 9346908
  2. Antz C Bauer T Kalbacher H Frank R Covarrubias M Kalbitzer HR Ruppersberg JP Baukrowitz T Fakler B Control of K+ channel gating by protein phosphorylation: structural switches of the inactivation gate Nat Struct Biol 1999 6 146 150 10048926
  3. Barrell D Dimmer E Huntley RP Binns D O’Donovan C Apweiler R The GOA database in 2009--an integrated Gene Ontology Annotation resource Nucleic Acids Res 2009 37 D396 403 18957448 PMC2686469
  4. Berman HM Westbrook J Feng Z Gilliland G Bhat TN Weissig H Shindyalov IN Bourne PE The Protein Data Bank Nucleic Acids Res 2000 28 235 242 10592235 PMC102472
  5. Boekhorst J van Breukelen B Heck A Jr. Snel B Comparative phosphoproteomics reveals evolutionary and functional conservation of phosphorylation across eukaryotes Genome Biol 2008 9 R144 18828897 PMC2760871
  6. Brock K Talley K Coley K Kundrotas P Alexov E Optimization of electrostatic interactions in protein-protein complexes Biophys J 2007 93 3340 3352 17693468 PMC2072065
  7. Chen SC Chen FC Li WH Phosphorylated and nonphosphorylated serine and threonine residues evolve at different rates in mammals Mol Biol Evol 2010 27 2548 2554 20534707 PMC2955733
  8. Choi YS Yang JS Choi Y Ryu SH Kim S Evolutionary conservation in multiple faces of protein interaction Proteins 2009 77 14 25 19350617
  9. Collins MO Yu L Campuzano I Grant SG Choudhary JS Phosphoproteomic analysis of the mouse brain cytosol reveals a predominance of protein phosphorylation in regions of intrinsic sequence disorder Mol Cell Proteomics 2008 7 1331 1348 18388127
  10. Croft D O’Kelly G Wu G Haw R Gillespie M Matthews L Caudy M Garapati P Gopinath G Jassal B Reactome: a database of reactions, pathways and biological processes Nucleic Acids Res 2011 39 D691 697 21067998 PMC3013646
  11. Dinkel H Chica C Via A Gould CM Jensen LJ Gibson TJ Diella F Phospho.ELM: a database of phosphorylation sites--update 2011 Nucleic Acids Res 2011 39 D261 267 21062810 PMC3013696
  12. Edgar RC MUSCLE: multiple sequence alignment with high accuracy and high throughput Nucleic Acids Res 2004 32 1792 1797 15034147 PMC390337
  13. Geer LY Marchler-Bauer A Geer RC Han L He J He S Liu C Shi W Bryant SH The NCBI BioSystems database Nucleic Acids Res 2010 38 D492 496 19854944 PMC2808896
  14. Gnad F Forner F Zielinska DF Birney E Gunawardena J Mann M Evolutionary constraints of phosphorylation in eukaryotes, prokaryotes, and mitochondria Mol Cell Proteomics 2010 9 2642 2653 20688971 PMC3101853
  15. Gnad F Ren S Cox J Olsen JV Macek B Oroshi M Mann M PHOSIDA (phosphorylation site database): management, structural and evolutionary investigation, and prediction of phosphosites Genome Biol 2007 8 R250 18039369 PMC2258193
  16. Goldbeter A Koshland DE Jr. An amplified sensitivity arising from covalent modification in biological systems Proc Natl Acad Sci U S A 1981 78 6840 6844 6947258 PMC349147
  17. Gray VE Kumar S Rampant purifying selection conserves positions with posttranslational modifications in human proteins Mol Biol Evol 2011 28 1565 1568 21273632 PMC3107664
  18. Gsponer J Futschik ME Teichmann SA Babu MM Tight regulation of unstructured proteins: from transcript synthesis to protein degradation Science 2008 322 1365 1368 19039133 PMC2803065
  19. Hashimoto K Nishi H Bryant S Panchenko AR Caught in self-interaction: evolutionary and functional mechanisms of protein homooligomerization Phys Biol 2011 8 035007 21572178 PMC3148176
  20. Hornbeck PV Chabra I Kornhauser JM Skrzypek E Zhang B PhosphoSite: A bioinformatics resource dedicated to physiological protein phosphorylation Proteomics 2004 4 1551 1561 15174125
  21. Hunter T Sefton BM Transforming gene product of Rous sarcoma virus phosphorylates tyrosine Proc Natl Acad Sci U S A 1980 77 1311 1315 6246487 PMC348484
  22. Jenal U Galperin MY Single domain response regulators: molecular switches with emerging roles in cell organization and dynamics Curr Opin Microbiol 2009 12 152 160 19246239 PMC2725762
  23. Jimenez JL Hegemann B Hutchins JR Peters JM Durbin R A systematic comparative and structural analysis of protein phosphorylation sites based on the mtcPTM database Genome Biol 2007 8 R90 17521420 PMC1929158
  24. Johnson LN The regulation of protein phosphorylation Biochem Soc Trans 2009 37 627 641 19614568
  25. Kanehisa M Goto S Furumichi M Tanabe M Hirakawa M KEGG for representation and analysis of molecular networks involving diseases and drugs Nucleic Acids Res 2010 38 D355 360 19880382 PMC2808910
  26. Khan S Vihinen M Performance of protein stability predictors Hum Mutat 2010 31 675 684 20232415
  27. Krissinel E Henrick K Inference of macromolecular assemblies from crystalline state J Mol Biol 2007 372 774 797 17681537
  28. Levy ED Landry CR Michnick SW Cell signaling. Signaling through cooperation Science 2010 328 983 984 20489011
  29. Lin J Xie Z Zhu H Qian J Understanding protein phosphorylation on a systems level Brief Funct Genomics 2010 9 32 42 20056723 PMC3096446
  30. Lin K Hwang PK Fletterick RJ Distinct phosphorylation signals converge at the catalytic center in glycogen phosphorylases Structure 1997 5 1511 1523 9384566
  31. Macek B Gnad F Soufi B Kumar C Olsen JV Mijakovic I Mann M Phosphoproteome analysis of E. coli reveals evolutionary conservation of bacterial Ser/Thr/Tyr phosphorylation Mol Cell Proteomics 2008 7 299 307 17938405
  32. Magrane M Consortium U UniProt Knowledgebase: a hub of integrated protein data Database (Oxford) 2011 2011 bar009 21447597 PMC3070428
  33. Marchler-Bauer A Anderson JB Chitsaz F Derbyshire MK DeWeese-Scott C Fong JH Geer LY Geer RC Gonzales NR Gwadz M CDD: specific functional annotation with the Conserved Domain Database Nucleic Acids Res 2009 37 D205 210 18984618 PMC2686570
  34. Marchler-Bauer A Panchenko AR Shoemaker BA Thiessen PA Geer LY Bryant SH CDD: a database of conserved domain alignments with links to domain three-dimensional structure Nucleic Acids Res 2002 30 281 283 11752315 PMC99109
  35. Murray D Hermida-Matsumoto L Buser CA Tsang J Sigal CT Ben-Tal N Honig B Resh MD McLaughlin S Electrostatics and the membrane association of Src: theory and experiment Biochemistry 1998 37 2145 2159 9485361
  36. Olsen JV Blagoev B Gnad F Macek B Kumar C Mortensen P Mann M Global, in vivo, and site-specific phosphorylation dynamics in signaling networks Cell 2006 127 635 648 17081983
  37. Olsen JV Vermeulen M Santamaria A Kumar C Miller ML Jensen LJ Gnad F Cox J Jensen TS Nigg EA Quantitative phosphoproteomics reveals widespread full phosphorylation site occupancy during mitosis Sci Signal 2010 3 ra3 20068231
  38. Park KS Mohapatra DP Misonou H Trimmer JS Graded regulation of the Kv2.1 potassium channel by variable phosphorylation Science 2006 313 976 979 16917065
  39. Pei J Grishin NV AL2CO: calculation of positional conservation in a protein sequence alignment Bioinformatics 2001 17 700 712 11524371
  40. Perkins JR Diboun I Dessailly BH Lees JG Orengo C Transient protein-protein interactions: structural, functional, and network properties Structure 2010 18 1233 1243 20947012
  41. Potapov V Cohen M Schreiber G Assessing computational methods for predicting protein stability upon mutation: good on average but not in the details Protein Eng Des Sel 2009 22 553 560 19561092
  42. Ptacek J Snyder M Charging it up: global analysis of protein phosphorylation Trends Genet 2006 22 545 554 16908088
  43. Radivojac P Baenziger PH Kann MG Mort ME Hahn MW Mooney SD Gain and loss of phosphorylation sites in human cancer Bioinformatics 2008 24 i241 247 18689832 PMC2732209
  44. Riano-Pachon DM Kleessen S Neigenfind J Durek P Weber E Engelsberger WR Walther D Selbig J Schulze WX Kersten B Proteome-wide survey of phosphorylation patterns affected by nuclear DNA polymorphisms in Arabidopsis thaliana BMC Genomics 2010 11 411 20594336 PMC2996939
  45. Schaefer CF Anthony K Krupa S Buchoff J Day M Hannay T Buetow KH PID: the Pathway Interaction Database Nucleic Acids Res 2009 37 D674 679 18832364 PMC2686461
  46. Schlessinger J Cell signaling by receptor tyrosine kinases Cell 2000 103 211 225 11057895
  47. Schweiger R Linial M Cooperativity within proximal phosphorylation sites is revealed from large-scale proteomics data Biol Direct 2010 5 6 20100358 PMC2828979
  48. Serber Z Ferrell JE Jr. Tuning bulk electrostatics to regulate protein function Cell 2007 128 441 444 17289565
  49. Sridhara V Marchler-Bauer A Bryant SH Geer LY Automatic annotation of experimentally derived, evolutionarily conserved post-translational modifications onto multiple genomes Database (Oxford) 2011 2011 bar019 21571812 PMC3096321
  50. Strickfaden SC Winters MJ Ben-Ari G Lamson RE Tyers M Pryciak PM A mechanism for cell-cycle regulation of MAP kinase signaling in a yeast differentiation pathway Cell 2007 128 519 531 17289571 PMC1847584
  51. Sugiyama N Nakagami H Mochida K Daudi A Tomita M Shirasu K Ishihama Y Large-scale phosphorylation mapping reveals the extent of tyrosine phosphorylation in Arabidopsis Mol Syst Biol 2008 4 193 18463617 PMC2424297
  52. Tuncbag N Gursoy A Keskin O Identification of computational hot spots in protein interfaces: combining solvent accessibility and inter-residue potentials improves the accuracy Bioinformatics 2009 25 1513 1520 19357097
  53. Tyagi M Shoemaker BA Bryant SH Panchenko AR Exploring functional roles of multibinding protein interfaces Protein Sci 2009 18 1674 1683 19591200 PMC2776955
  54. Wang Z Ding G Geistlinger L Li H Liu L Zeng R Tateno Y Li Y Evolution of protein phosphorylation for distinct functional modules in vertebrate genomes Mol Biol Evol 2011 28 1131 1140 20956806
  55. Wu JW Hu M Chai J Seoane J Huse M Li C Rigotti DJ Kyin S Muir TW Fairman R Crystal structure of a phosphorylated Smad2. Recognition of phosphoserine by the MH2 domain and insights on Smad function in TGF-beta signaling Mol Cell 2001 8 1277 1289 11779503
  56. Xue Y Ren J Gao X Jin C Wen L Yao X GPS 2.0, a tool to predict kinase-specific phosphorylation sites in hierarchy Mol Cell Proteomics 2008 7 1598 1608 18463090 PMC2528073
  57. Yachie N Saito R Sugahara J Tomita M Ishihama Y In silico analysis of phosphoproteome data suggests a rich-get-richer process of phosphosite accumulation over evolution Mol Cell Proteomics 2009 8 1061 1071 19136663 PMC2689765
  58. Zanzoni A Carbajo D Diella F Gherardini PF Tramontano A Helmer-Citterich M Via A Phospho3D 2.0: an enhanced database of three-dimensional structures of phosphorylation sites Nucleic Acids Res 2011 39 D268 271 20965970 PMC3013787

Cited by

Sorted by citations

Authors
Nishi, H., Hashimoto, K., & Panchenko, A. R.
Affiliations
National Institutes of Health (US)
Corresponding author
Panchenko, Anna R.
Venue
Structure
Publisher
Elsevier BV
Published
2011-12
Volume
19
Issue
12
Pages
1807-1815
ISSN
0969-2126 (ISSN-L)
OpenAlex
W2010516785
Cited by
322
References
5
Citations by year
2026: 22 · 2025: 34 · 2024: 30 · 2023: 16 · 2022: 21 · 2021: 30 · 2020: 23 · 2019: 26 · 2018: 26 · 2017: 20 · 2016: 19 · 2015: 15 · 2014: 21 · 2013: 10 · 2012: 8
FWCI
4.87
Type
journal article
Language
en
Open access
Locations
  • Structure (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (Z99 LM999999, Z99 HL999999, Z99 MH999999, Z99CL999999)
  • U.S. National Library of Medicine
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
Keywords
protein phosphorylation, protein-protein binding, binding interface, protein complex stability, binding energy, binding hot spots, post-translational modification, dephosphorylation, evolutionary conservation, human proteome
MeSH terms
Binding Sites, Humans, Phosphorylation, Protein Conformation, Proteins, Evolution, Molecular, Proteome

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review