2vlp Citations

Experimental and computational analyses of the energetic basis for dual recognition of immunity proteins by colicin endonucleases.

J Mol Biol 379 745-59 (2008)
Related entries: 2vln, 2vlo, 2vlq

Cited: 31 times
EuropePMC logo PMID: 18471830

Abstract

Colicin endonucleases (DNases) are bound and inactivated by immunity (Im) proteins. Im proteins are broadly cross-reactive yet specific inhibitors binding cognate and non-cognate DNases with K(d) values that vary between 10(-4) and 10(-14) M, characteristics that are explained by a 'dual-recognition' mechanism. In this work, we addressed for the first time the energetics of Im protein recognition by colicin DNases through a combination of E9 DNase alanine scanning and double-mutant cycles (DMCs) coupled with kinetic and calorimetric analyses of cognate Im9 and non-cognate Im2 binding, as well as computational analysis of alanine scanning and DMC data. We show that differential DeltaDeltaGs observed for four E9 DNase residues cumulatively distinguish cognate Im9 association from non-cognate Im2 association. E9 DNase Phe86 is the primary specificity hotspot residue in the centre of the interface, which is coordinated by conserved and variable hotspot residues of the cognate Im protein. Experimental DMC analysis reveals that only modest coupling energies to Im9 residues are observed, in agreement with calculated DMCs using the program ROSETTA and consistent with the largely hydrophobic nature of E9 DNase-Im9 specificity contacts. Computed values for the 12 E9 DNase alanine mutants showed reasonable agreement with experimental DeltaDeltaG data, particularly for interactions not mediated by interfacial water molecules. DeltaDeltaG predictions for residues that contact buried water molecules calculated using solvated rotamer models met with mixed success; however, we were able to predict with a high degree of accuracy the location and energetic contribution of one such contact. Our study highlights how colicin DNases are able to utilise both conserved and variable amino acids to distinguish cognate from non-cognate Im proteins, with the energetic contributions of the conserved residues modulated by neighbouring specificity sites.

Reviews citing this publication (2)

  1. Nuclease colicins and their immunity proteins. Papadakos G, Wojdyla JA, Kleanthous C. Q Rev Biophys 45 57-103 (2012)
  2. Survey of the year 2008: applications of isothermal titration calorimetry. Falconer RJ, Penkova A, Jelesarov I, Collins BM. J Mol Recognit 23 395-413 (2010)

Articles citing this publication (29)

  1. SKEMPI: a Structural Kinetic and Energetic database of Mutant Protein Interactions and its use in empirical models. Moal IH, Fernández-Recio J. Bioinformatics 28 2600-2607 (2012)
  2. Small-molecule ligand docking into comparative models with Rosetta. Combs SA, Deluca SL, Deluca SH, Lemmon GH, Nannemann DP, Nguyen ED, Willis JR, Sheehan JH, Meiler J. Nat Protoc 8 1277-1298 (2013)
  3. Solution NMR structure of Apo-calmodulin in complex with the IQ motif of human cardiac sodium channel NaV1.5. Chagot B, Chazin WJ. J Mol Biol 406 106-119 (2011)
  4. The structural and energetic basis for high selectivity in a high-affinity protein-protein interaction. Meenan NA, Sharma A, Fleishman SJ, Macdonald CJ, Morel B, Boetzel R, Moore GR, Baker D, Kleanthous C. Proc Natl Acad Sci U S A 107 10080-10085 (2010)
  5. Structure of the ultra-high-affinity colicin E2 DNase--Im2 complex. Wojdyla JA, Fleishman SJ, Baker D, Kleanthous C. J Mol Biol 417 79-94 (2012)
  6. Ultrahigh specificity in a network of computationally designed protein-interaction pairs. Netzer R, Listov D, Lipsh R, Dym O, Albeck S, Knop O, Kleanthous C, Fleishman SJ. Nat Commun 9 5286 (2018)
  7. A multiscale approach to predicting affinity changes in protein-protein interfaces. Dourado DF, Flores SC. Proteins 82 2681-2690 (2014)
  8. Binding efficiency of protein-protein complexes. Day ES, Cote SM, Whitty A. Biochemistry 51 9124-9136 (2012)
  9. Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations. Fragoza R, Das J, Wierbowski SD, Liang J, Tran TN, Liang S, Beltran JF, Rivera-Erick CA, Ye K, Wang TY, Yao L, Mort M, Stenson PD, Cooper DN, Wei X, Keinan A, Schimenti JC, Clark AG, Yu H. Nat Commun 10 4141 (2019)
  10. Global and local structural similarity in protein-protein complexes: implications for template-based docking. Kundrotas PJ, Vakser IA. Proteins 81 2137-2142 (2013)
  11. Structures of the Ultra-High-Affinity Protein-Protein Complexes of Pyocins S2 and AP41 and Their Cognate Immunity Proteins from Pseudomonas aeruginosa. Joshi A, Grinter R, Josts I, Chen S, Wojdyla JA, Lowe ED, Kaminska R, Sharp C, McCaughey L, Roszak AW, Cogdell RJ, Byron O, Walker D, Kleanthous C. J Mol Biol 427 2852-2866 (2015)
  12. The targets of CAPRI Rounds 13-19. Janin J. Proteins 78 3067-3072 (2010)
  13. A "fuzzy"-logic language for encoding multiple physical traits in biomolecules. Warszawski S, Netzer R, Tawfik DS, Fleishman SJ. J Mol Biol 426 4125-4138 (2014)
  14. Optimization of pyDock for the new CAPRI challenges: Docking of homology-based models, domain-domain assembly and protein-RNA binding. Pons C, Solernou A, Perez-Cano L, Grosdidier S, Fernandez-Recio J. Proteins 78 3182-3188 (2010)
  15. Assessment of software methods for estimating protein-protein relative binding affinities. Gonzalez TR, Martin KP, Barnes JE, Patel JS, Ytreberg FM. PLoS One 15 e0240573 (2020)
  16. Measuring inter-protein pairwise interaction energies from a single native mass spectrum by double-mutant cycle analysis. Sokolovski M, Cveticanin J, Hayoun D, Korobko I, Sharon M, Horovitz A. Nat Commun 8 212 (2017)
  17. Using collections of structural models to predict changes of binding affinity caused by mutations in protein-protein interactions. Meseguer A, Dominguez L, Bota PM, Aguirre-Plans J, Bonet J, Fernandez-Fuentes N, Oliva B. Protein Sci 29 2112-2130 (2020)
  18. Computational studies of protein-protein dissociation by statistical potential and coarse-grained simulations: a case study on interactions between colicin E9 endonuclease and immunity proteins. Su Z, Wu Y. Phys Chem Chem Phys 21 2463-2471 (2019)
  19. Engineering Specificity from Broad to Narrow: Design of a β-Lactamase Inhibitory Protein (BLIP) Variant That Exclusively Binds and Detects KPC β-Lactamase. Chow DC, Rice K, Huang W, Atmar RL, Palzkill T. ACS Infect Dis 2 969-979 (2016)
  20. CAPRI targets T29-T42: proving ground for new docking procedures. Eisenstein M, Ben-Shimon A, Frankenstein Z, Kowalsman N. Proteins 78 3174-3181 (2010)
  21. Fragment-based quantum mechanical calculation of protein-protein binding affinities. Wang Y, Liu J, Li J, He X. J Comput Chem 39 1617-1628 (2018)
  22. Role of tyrosine hot-spot residues at the interface of colicin E9 and immunity protein 9: a comparative free energy simulation study. Luitz MP, Zacharias M. Proteins 81 461-468 (2013)
  23. Using Coarse-Grained Simulations to Characterize the Mechanisms of Protein-Protein Association. Dhusia K, Su Z, Wu Y. Biomolecules 10 E1056 (2020)
  24. Combining different design strategies for rational affinity maturation of the MICA-NKG2D interface. Henager SH, Hale MA, Maurice NJ, Dunnington EC, Swanson CJ, Peterson MJ, Ban JJ, Culpepper DJ, Davies LD, Sanders LK, McFarland BJ. Protein Sci 21 1396-1402 (2012)
  25. Computational design, construction, and characterization of a set of specificity determining residues in protein-protein interactions. Nagao C, Izako N, Soga S, Khan SH, Kawabata S, Shirai H, Mizuguchi K. Proteins 80 2426-2436 (2012)
  26. ReplicOpter: a replicate optimizer for flexible docking. Demerdash ON, Buyan A, Mitchell JC. Proteins 78 3156-3165 (2010)
  27. Structural design principles for specific ultra-high affinity interactions between colicins/pyocins and immunity proteins. Shushan A, Kosloff M. Sci Rep 11 3789 (2021)
  28. Cooperative stability renders protein complex formation more robust and controllable. Hsu KL, Yen HS, Yeang CH. Sci Rep 12 10490 (2022)
  29. Thermodynamic Integration in 3n Dimensions without Biases or Alchemy for Protein Interactions. Chen LY. Front Phys 8 202 (2020)