Skip to main content
Log in

Analysis of \( {}^{13}{\text{C}}^{{{\upalpha}}} \) and \( {}^{13}{\text{C}}^{{{\upbeta}}} \) chemical shifts of cysteine and cystine residues in proteins: a quantum chemical approach

  • Article
  • Published:
Journal of Biomolecular NMR Aims and scope Submit manuscript

Abstract

Cysteines possess a unique property among the 20 naturally occurring amino acids: it can be present in proteins in either the reduced or oxidized form, and can regulate the activity of some proteins. Consequently, to augment our previous treatment of the other types of residues, the \( {}^{13}{\text{C}}^{{{\upalpha}}} \) and \( {}^{13}{\text{C}}^{{{\upbeta}}} \) chemical shifts of 837 cysteines in disulfide-bonded cystine from a set of seven non-redundant proteins, determined by X-ray crystallography and NMR spectroscopy, were computed at the DFT level of theory. Our results indicate that the errors between observed and computed \( {}^{13}{\text{C}}^{{{\upalpha}}} \) chemical shifts of such oxidized cysteines can be attributed to several effects such as: (a) the quality of the NMR-determined models, as evaluated by the conformational-average (ca) rmsd value; (b) the existence of high B-factor or crystal-packing effects for the X-ray-determined structures; (c) the dynamics of the disulfide bonds in solution; and (d) the differences in the experimental conditions under which the observed \( {}^{13}{\text{C}}^{{{\upalpha}}} \) chemical shifts and the protein models were determined by either X-ray crystallography or NMR-spectroscopy. These quantum-chemical-based calculations indicate the existence of two, almost non-overlapped, basins for the oxidized and reduced −SH \( {}^{13}{\text{C}}^{{{\upbeta}}} \), but not for the \( {}^{13}{\text{C}}^{{{\upalpha}}} \), chemical shifts, in good agreement with the observation of 375 \( {}^{13}{\text{C}}^{{{\upalpha}}} \) and 337 \( {}^{13}{\text{C}}^{{{\upbeta}}} \) resonances from 132 proteins by Sharma and Rajarathnam (2000). Overall, our results indicate that explicit consideration of the disulfide bonds is a necessary condition for an accurate prediction of \( {}^{13}{\text{C}}^{{{\upalpha}}} \) and \( {}^{13}{\text{C}}^{{{\upbeta}}} \) chemical shifts of cysteines in cystines.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  • Arnautova YA, Vila JA, Martin OA, Scheraga HA (2009) Acta Cryst D, D65, 697–703

  • Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE (2000) The protein data bank. Nucleic Acids Res 28:235–242

    Article  Google Scholar 

  • Betancourt MR, Skolnick J (2001) Universal similarity measure for comparing protein structures. Biopolymers 59:305–309

    Article  Google Scholar 

  • Carugo O, Pongor S (2001) A normalized root-mean-square distance for comparing protein three-dimensional structures. Proteins Sci 10:1470–1473

    Article  Google Scholar 

  • Chesnut DB, Moore KD (1989) Locally dense basis-sets for chemical-shift calculations. J Comp Chem 10:648–659

    Article  Google Scholar 

  • Cornilescu G, Marquardt JL, Ottiger M, Bax A (1998) Validation of protein structure from anisotropic carbonyl chemical shifts in a dilute liquid crystalline phase. J Am Chem Soc 120:6836–6837

    Article  Google Scholar 

  • de Dios AC, Pearson JG, Oldfield E (1993) Secondary and tertiary structural effects on protein NMR chemical shifts: an ab initio approach. Science 260:1491–1496

    Article  ADS  Google Scholar 

  • Frisch MJ, Trucks GW, Schlegel HB, Scuseria GE, Robb MA, Cheeseman JR, Zakrzewski VG, Montgomery JA, Stratmann RE Jr, Burant JC, Dapprich S, Millam JM, Daniels AD, Kudin KN, Strain MC, Farkas O, Tomasi J, Barone V, Cossi M, Cammi R, Mennucci B, Pomelli C, Adamo C, Clifford S, Ochterski J, Petersson GA, Ayala PY, Cui Q, Morokuma K, Malick DK, Rabuck AD, Raghavachari K, Foresman JB, Cioslowski J, Ortiz V, Baboul AG, Stefanov BB, Liu G, Liashenko A, Piskorz P, Komaromi I, Gomperts R, Martin RL, Fox DJ, Keith T, Al-Laham MA, Peng CY, Nanayakkara A, Gonzalez C, Chal-lacombe M, Gill PMW, Johnson B, Chen W, Wong MW, Andres JL, Gonzalez C, Head-Gordon M, Replogle ES, Pople JA (2004) Gaussian 03, Revision E.01. Gaussian, Wallingford

    Google Scholar 

  • Havlin RH, Le H, Laws DD, de Dios AC, Oldfield E (1997) An ab initio quantum chemical investigation of carbon-13 NMR shielding tensors in glycine, alanine, valine, isoleucine, serine, and threonine: comparisons between helical and sheet tensors, and effects of χ1 on shielding. J Am Chem Soc 119:11951–11958

    Article  Google Scholar 

  • Iyer S, Wei S, Brew K, Acharya KR (2007) Crystal structure of the catalytic domain of matrix metalloproteinase-1 in complex with the inhibitory domain of tissue inhibitor of metalloproteinase-1. J Biol Chem 282:364–371

    Article  Google Scholar 

  • Kornhaber GJ, Snyder D, Moseley HNB, Montelione GT (2006) Identification of zinc-ligated cysteine residues based on chemical shift data 13Cα and 13Cβ. J Biomol NMR 34:259–269

    Article  Google Scholar 

  • Li C, Guo X, Jia Z, Xia B, Jin C (2005) Solution structure of an antifreeze protein CfAFP-501 from choristoneura fumiferana. J Biomol NMR 32:251–256

    Article  Google Scholar 

  • Maiorov VN, Crippen GM (1995) Size-independent comparison of protein three-dimensional structures. Proteins 22:273–283

    Article  Google Scholar 

  • Otting G, Liepinsh E, Wüthrich K (1993) Disulfide bond isomerization in BPTI and BPTI(G36S): an NMR study of correlated mobility in proteins. Biochemistry 32:3571–3582

    Article  Google Scholar 

  • Pearson JG, Le H, Sanders LK, Godbout N, Havlin RH, Oldfield EJ (1997) Predicting chemical shifts in proteins: structure refinement of valine residues by using ab initio and empirical geometry optimizations. J Am Chem Soc 119:11941–11950

    Article  Google Scholar 

  • Sharma D, Rajarathnam K (2000) 13C NMR chemical shifts can predict disulfide bond formation. J Biomol NMR 18:165–171

    Article  Google Scholar 

  • Spera S, Bax A (1991) Empirical correlation between protein backbone conformation and Cα and Cβ 13C nuclear magnetic resonance chemical shifts. J Am Chem Soc 113:5490–5492

    Article  Google Scholar 

  • Sun H, Sanders LK, Oldfield E (2002) Carbon-13 NMR shielding in the twenty common amino acids: comparisons with experimental results in proteins. J Am Chem Soc 124:5486–5495

    Article  Google Scholar 

  • Ulrich EL, Akutsu H, Doreleijers HJ, Harano Y, Ioannidis YE, Lin J, Livny M, Mading S, Maziuk D, Miller Z, Nakatani E, Schulte CF, Tolmie DE, Wenger RK, Yao H, Markley JL (2007) BioMagResBank. Nucleic Acids Res 36:D402–D408

    Article  Google Scholar 

  • Van Wart HE, Scheraga HA (1976) Raman spectra of cystine-related disulfides. Effect of rotational isomerism about carbon-sulfur bonds on sulfur-sulfur stretching frequencies. J Phys Chem 80:1812–1823

    Article  Google Scholar 

  • Van Wart HE, Scheraga HA (1977) Stable conformations of aliphatic disulfides: influence of 1, 4 interactions involving sulfur atoms. Proc Natl Acad Sci USA 74:13–17

    Article  ADS  Google Scholar 

  • Vila JA, Scheraga HA (2008) Factors affecting the use of 13Cα chemical shifts to determine, refine, and validate protein structures. Proteins: Struct Funct Bioinform 71:641–654

    Article  Google Scholar 

  • Vila JA, Scheraga HA (2009) Assessing the accuracy of protein structures by quantum mechanical computations of 13Cα chemical shifts. Acc Chem Res 42:1545–1553

    Article  Google Scholar 

  • Vila JA, Villegas ME, Baldoni HA, Scheraga HA (2007) Predicting 13Cα chemical shifts for validation of protein structures. J Biomol NMR 38:221–235

    Article  Google Scholar 

  • Vila JA, Aramini JA, Rossi P, Kuzin A, Su M, Seetharaman J, Xiao R, Tong L, Montelione GT, Scheraga HA (2008) Quantum chemical 13Cα chemical shift calculations for protein NMR structure determination, refinement, and validation. Proc Natl Acad Sci USA 105:14389–14394

    Article  ADS  Google Scholar 

  • Vila JA, Arnautova YA, Martin OA, Scheraga HA (2009) Quantum-mechanics-derived 13Cα chemical shift server (CheShift) for protein structure validation. Proc Natl Acad Sci USA 106:16972–16977

    Article  Google Scholar 

  • Villegas ME, Vila JA, Scheraga HA (2007) Effects of side-chain orientation on the 13Cα chemical shifts of antiparallel β-sheet model peptides. J Biomol NMR 37:137–146

    Article  Google Scholar 

  • Wang Y, Jardetzky O (2002) Probability-based protein secondary structure identification using combined NMR chemical-shift data. Protein Sci 11:852–861

    Article  Google Scholar 

  • Wouters MA, George RA, Haworth NL (2007) “Forbidden” disulfides: their role as redox switches. Curr Protein Pept Sci 8(5):484–495

    Article  Google Scholar 

  • Xu XP, Case DAJ (2001) Automatic prediction of 15N, 13Cα, 13Cβ and 13Cχ chemical shifts in proteins using a density functional database. J Biomol NMR 21:321–333

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by grants from the National Institutes of Health (GM-14312 and GM-24893), and the National Science Foundation (MCB05-41633). Support was also received from CONICET, FONCyT-ANPCyT (PAV 22642/22672), and from the Universidad Nacional de San Luis (P-328501), Argentina. The research was conducted by using the resources of our 600-core Beowulf cluster at the Baker Laboratory of Chemistry and Chemical Biology, Cornell University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Harold A. Scheraga.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 693 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Martin, O.A., Villegas, M.E., Vila, J.A. et al. Analysis of \( {}^{13}{\text{C}}^{{{\upalpha}}} \) and \( {}^{13}{\text{C}}^{{{\upbeta}}} \) chemical shifts of cysteine and cystine residues in proteins: a quantum chemical approach. J Biomol NMR 46, 217–225 (2010). https://doi.org/10.1007/s10858-010-9396-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10858-010-9396-x

Keywords