Skip to main content
Log in

RNAHelix: computational modeling of nucleic acid structures with Watson–Crick and non-canonical base pairs

  • Published:
Journal of Computer-Aided Molecular Design Aims and scope Submit manuscript

Abstract

Comprehensive analyses of structural features of non-canonical base pairs within a nucleic acid double helix are limited by the availability of a small number of three dimensional structures. Therefore, a procedure for model building of double helices containing any given nucleotide sequence and base pairing information, either canonical or non-canonical, is seriously needed. Here we describe a program RNAHelix, which is an updated version of our widely used software, NUCGEN. The program can regenerate duplexes using the dinucleotide step and base pair orientation parameters for a given double helical DNA or RNA sequence with defined Watson–Crick or non-Watson–Crick base pairs. The original structure and the corresponding regenerated structure of double helices were found to be very close, as indicated by the small RMSD values between positions of the corresponding atoms. Structures of several usual and unusual double helices have been regenerated and compared with their original structures in terms of base pair RMSD, torsion angles and electrostatic potentials and very high agreements have been noted. RNAHelix can also be used to generate a structure with a sequence completely different from an experimentally determined one or to introduce single to multiple mutation, but with the same set of parameters and hence can also be an important tool in homology modeling and study of mutation induced structural changes.

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

Access this article

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
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Kim SH, Suddath FL, Quigley GJ et al (1974) Three-dimensional tertiary structure of yeast phenylalanine transfer RNA. Science 185:435–440. doi:10.1126/science.185.4149.435

    Article  CAS  Google Scholar 

  2. Holbrook SR, Cheong C, Tinoco I, Kim SH (1991) Crystal structure of an RNA double helix incorporating a track of non-Watson–Crick base pairs. Nature 353:579–581

    Article  CAS  Google Scholar 

  3. Cruse WB, Saludjian P, Biala E et al (1994) Structure of a mispaired RNA double helix at 1.6-A resolution and implications for the prediction of RNA secondary structure. Proc Natl Acad Sci USA 91:4160–4164

    Article  CAS  Google Scholar 

  4. Egli M, Portmann S, Usman N (1996) RNA hydration: a detailed look †, ‡. BioChemistry 35:8489–8494. doi:10.1021/bi9607214

    Article  CAS  Google Scholar 

  5. Lenz T, Bonnist EYM, Pljevaljčić G et al (2007) 2-aminopurine flipped into the active site of the adenine-specific DNA methyltransferase M. TaqI: crystal structures and time-resolved fluorescence. J Am Chem Soc 129:6240–6248. doi:10.1021/ja069366n

    Article  CAS  Google Scholar 

  6. Leontis NB, Westhof E (2001) Geometric nomenclature and classification of RNA base pairs. RNA 7:499–512

    Article  CAS  Google Scholar 

  7. Bhattacharya S, Mittal S, Panigrahi S, et al. (2015) RNABP COGEST: a resource for investigating functional RNAs. Database (Oxford) bav011. doi:10.1093/database/bav011

  8. Olson WK, Bansal M, Burley SK et al (2001) A standard reference frame for the description of nucleic acid base-pair geometry. J Mol Biol 313:229–237. doi:10.1006/jmbi.2001.4987

    Article  CAS  Google Scholar 

  9. Dickerson RE (1989) Definitions and nomenclature of nucleic acid structure parameters. J Biomol Struct Dyn 6:627–634. doi:10.1080/07391102.1989.10507726

    Article  CAS  Google Scholar 

  10. Calladine CR (1982) Mechanics of sequence-dependent stacking of bases in B-DNA. J Mol Biol 161:343–352. doi:10.1016/0022-2836(82)90157-7

    Article  CAS  Google Scholar 

  11. Ravishanker G, Swaminathan S, Beveridge DL et al (1989) Conformational and helicoidal analysis of 30 PS of molecular dynamics on the d(CGCGAATTCGCG) double helix: “curves”, dials and windows. J Biomol Struct Dyn 6:669–699. doi:10.1080/07391102.1989.10507729

    Article  CAS  Google Scholar 

  12. Bhattacharyya D, Bansal M (1990) Local variability and base sequence effects in DNA crystal structures. J Biomol Struct Dyn 8:539–572. doi:10.1080/07391102.1990.10507828

    Article  CAS  Google Scholar 

  13. Babcock MS, Olson WK (1994) The effect of mathematics and coordinate system on comparability and “dependencies” of nucleic acid structure parameters. J Mol Biol 237:98–124. doi:10.1006/jmbi.1994.1212

    Article  CAS  Google Scholar 

  14. Bandyopadhyay D, Bhattacharyya D (2000) Effect of neighboring bases on base-pair stacking orientation: a molecular dynamics study. J Biomol Struct Dyn 18:29–43. doi:10.1080/07391102.2000.10506645

    Article  CAS  Google Scholar 

  15. Beveridge DL, Barreiro G, Suzie Byun K et al (2004) Molecular dynamics simulations of the 136 unique tetranucleotide sequences of DNA oligonucleotides. I. Research design and results on d(CpG) steps. Biophys J 87:3799–3813. doi:10.1529/biophysj.104.045252

    Article  CAS  Google Scholar 

  16. Fujii S, Kono H, Takenaka S et al (2007) Sequence-dependent DNA deformability studied using molecular dynamics simulations. Nucleic Acids Res 35:6063–6074. doi:10.1093/nar/gkm627

    Article  CAS  Google Scholar 

  17. Davey CA, Sargent DF, Luger K et al (2002) Solvent mediated interactions in the structure of the nucleosome core particle at 1.9 Å resolution. J Mol Biol 319:1097–1113. doi:10.1016/S0022-2836(02)00386-8

    Article  CAS  Google Scholar 

  18. Wu B, Mohideen K, Vasudevan D, Davey CA (2010) Structural insight into the sequence dependence of nucleosome positioning. Structure 18:528–536. doi:10.1016/j.str.2010.01.015

    Article  CAS  Google Scholar 

  19. Andrews AJ, Luger K (2011) Nucleosome structure(s) and stability: variations on a theme. Annu Rev Biophys 40:99–117. doi:10.1146/annurev-biophys-042910-155329

    Article  CAS  Google Scholar 

  20. Halder S, Bhattacharyya D (2010) Structural stability of tandemly occurring noncanonical basepairs within double helical fragments: molecular dynamics studies of functional RNA. J Phys Chem B 114:14028–14040. doi:10.1021/jp102835t

    Article  CAS  Google Scholar 

  21. Halder S, Bhattacharyya D (2012) Structural variations of single and tandem mismatches in RNA duplexes: a joint MD simulation and crystal structure database analysis. J Phys Chem B 116:11845–11856. doi:10.1021/jp305628v

    Article  CAS  Google Scholar 

  22. Berman HM, Westbrook J, Feng Z et al (2000) The protein data bank. Nucleic Acids Res 28:235–242. doi:10.1093/nar/28.1.235

    Article  CAS  Google Scholar 

  23. Mohanty D, Bansal M (1991) DNA polymorphism and local variation in base-pair orientation: a theoretical rationale. J Biomol Struct Dyn 9:127–142. doi:10.1080/07391102.1991.10507898

    Article  CAS  Google Scholar 

  24. Hunter CA (1993) Sequence-dependent DNA structure. The role of base stacking interactions. J Mol Biol 230:1025–1054. doi:10.1006/jmbi.1993.1217

    Article  CAS  Google Scholar 

  25. Mondal M, Halder S, Chakrabarti J, Bhattacharyya D (2016) Hybrid simulation approach incorporating microscopic interaction along with rigid body degrees of freedom for stacking between base pairs. Biopolymers 105:212–226. doi:10.1002/bip.22787

    Article  CAS  Google Scholar 

  26. Lu X-JXJ, Olson WK (2003) 3DNA: A software package for the analysis, rebuilding and visualization of three-dimensional nucleic acid structures. Nucleic Acids Res 31:5108–5121. doi:10.1093/nar/gkg680

    Article  CAS  Google Scholar 

  27. Lu X-J, Olson WK (2008) 3DNA: a versatile, integrated software system for the analysis, rebuilding and visualization of three-dimensional nucleic-acid structures. Nat Protoc 3:1213–1227. doi:10.1038/nprot.2008.104

    Article  CAS  Google Scholar 

  28. van Dijk M, Bonvin AMJJ (2009) 3D-DART: a DNA structure modelling server. Nucleic Acids Res 37:W235–W239. doi:10.1093/nar/gkp287

    Article  Google Scholar 

  29. Bansal M, Bhattacharyya D, Ravi B (1995) NUPARM and NUCGEN: software for analysis and generation of sequence dependent nucleic acid structures. Bioinformatics 11:281–287. doi:10.1093/bioinformatics/11.3.281

    Article  CAS  Google Scholar 

  30. Macke TJ, Case DA (1997) Modeling unusual nucleic acid structures. In: ACS Symp. Ser. pp 379–393

  31. Parisien M, Major F (2008) The MC-Fold and MC-Sym pipeline infers RNA structure from sequence data. Nature 452:51–55. doi:10.1038/nature06684

    Article  CAS  Google Scholar 

  32. Popenda M, Szachniuk M, Antczak M et al (2012) Automated 3D structure composition for large RNAs. Nucleic Acids Res 40:e112. doi:10.1093/nar/gks339

    Article  CAS  Google Scholar 

  33. Lu X-J, El Hassan MA, Hunter CA (1997) Structure and conformation of helical nucleic acids: rebuilding program (SCHNArP). J Mol Biol 273:681–691. doi:10.1006/jmbi.1997.1345

    Article  CAS  Google Scholar 

  34. Bhattacharya D, Bansal M (1988) A general procedure for generation of curved DNA molecules. J Biomol Struct Dyn 6:93–104. doi:10.1080/07391102.1988.10506484

    Article  CAS  Google Scholar 

  35. Bhattacharyya D, Bansal M (1989) A self-consistent formulation for analysis and generation of non-uniform DNA structures. J Biomol Struct Dyn 6:635–653. doi:10.1080/07391102.1989.10507727

    Article  CAS  Google Scholar 

  36. Mukherjee S, Bansal M, Bhattacharyya D (2006) Conformational specificity of non-canonical base pairs and higher order structures in nucleic acids: crystal structure database analysis. J Comput Aided Mol Des 20:629–645. doi:10.1007/s10822-006-9083-x

    Article  CAS  Google Scholar 

  37. Brooks BR, Brooks CL, Mackerell AD et al (2009) CHARMM: the biomolecular simulation program. J Comput Chem 30:1545–1614. doi:10.1002/jcc.21287

    Article  CAS  Google Scholar 

  38. Das J, Mukherjee S, Mitra A, Bhattacharyya D (2006) Non-canonical base pairs and higher order structures in nucleic acids: crystal structure database analysis. J Biomol Struct Dyn 24:149–161. doi:10.1080/07391102.2006.10507108

    Article  CAS  Google Scholar 

  39. Panigrahi S, Pal R, Bhattacharyya D (2011) Structure and energy of non-canonical basepairs: comparison of various computational chemistry methods with crystallographic ensembles. J Biomol Struct Dyn 29:541–556. doi:10.1080/07391102.2011.10507404

    Article  CAS  Google Scholar 

  40. Ray SS, Halder S, Kaypee S, Bhattacharyya D (2012) HD-RNAS: an automated hierarchical database of RNA structures. Front Genet 3:59. doi:10.3389/fgene.2012.00059

    Article  Google Scholar 

  41. Petrov AI, Zirbel CL, Leontis NB (2013) Automated classification of RNA 3D motifs and the RNA 3D Motif Atlas. RNA 19:1327–1340. doi:10.1261/rna.039438.113

    Article  CAS  Google Scholar 

  42. Clowney L, Jain SC, Srinivasan AR et al (1996) Geometric parameters in nucleic acids: nitrogenous bases. J Am Chem Soc 118:509–518. doi:10.1021/ja952883d

    Article  CAS  Google Scholar 

  43. Cornell WD, Cieplak P, Bayly CI et al (1995) A Second generation force field for the simulation of proteins, nucleic acids, and organic molecules. J Am Chem Soc 117:5179–5197. doi:10.1021/ja00124a002

    Article  CAS  Google Scholar 

  44. Xu D, Zhang Y (2009) Generating triangulated macromolecular surfaces by Euclidean distance transform. PLoS One 4:e8140. doi:10.1371/journal.pone.0008140

    Article  Google Scholar 

  45. Basu S, Bhattacharyya D, Banerjee R (2012) Self-complementarity within proteins: bridging the gap between binding and folding. Biophys J 102:2605–2614. doi:10.1016/j.bpj.2012.04.029

    Article  CAS  Google Scholar 

  46. Rocchia W, Sridharan S, Nicholls A et al (2002) Rapid grid-based construction of the molecular surface and the use of induced surface charge to calculate reaction field energies: applications to the molecular systems and geometric objects. J Comput Chem 23:128–137. doi:10.1002/jcc.1161

    Article  CAS  Google Scholar 

  47. Li L, Li C, Sarkar S, et al. (2012) DelPhi: a comprehensive suite for DelPhi software and associated resources. BMC Biophys 5:9. doi:10.1186/2046-1682-5-9

    Article  Google Scholar 

  48. Pettersen EF, Goddard TD, Huang CC et al (2004) UCSF Chimera–a visualization system for exploratory research and analysis. J Comput Chem 25:1605–1612. doi:10.1002/jcc.20084

    Article  CAS  Google Scholar 

  49. Blanchet C, Pasi M, Zakrzewska K, Lavery R (2011) CURVES + web server for analyzing and visualizing the helical, backbone and groove parameters of nucleic acid structures. Nucleic Acids Res 39:W68–W73. doi:10.1093/nar/gkr316

    Article  CAS  Google Scholar 

  50. Saenger W (1984) Principles of nucleic acid. Structure. doi:10.1007/978-1-4612-5190-3

    Google Scholar 

  51. Ulanovsky LE, Trifonov EN (1987) Estimation of wedge components in curved DNA. Nature 326:720–722. doi:10.1038/326720a0

    Article  CAS  Google Scholar 

  52. Kailasam S, Bhattacharyya D, Bansal M et al (2014) Sequence dependent variations in RNA duplex are related to non-canonical hydrogen bond interactions in dinucleotide steps. BMC Res Notes 7:83. doi:10.1186/1756-0500-7-83

    Article  Google Scholar 

  53. Leontis NB, Zirbel CL (2012) In: Leontis N, Westhof E (eds) Nonredundant 3D structure datasets for RNA knowledge extraction and benchmarking. Springer Berlin Heidelberg, Berlin, pp 281–298t;/bib>

    Google Scholar 

  54. Cheatham TE, Case DA (2013) Twenty-five years of nucleic acid simulations. Biopolymers 99:969–977. doi:10.1002/bip.22331

    CAS  Google Scholar 

  55. Arnott S, Hukins DW, Dover SD (1972) Optimised parameters for RNA double-helices. Biochem Biophys Res Commun 48:1392–1399

    Article  CAS  Google Scholar 

  56. Duarte CM, Pyle AM (1998) Stepping through an RNA structure: A novel approach to conformational analysis. J Mol Biol 284:1465–1478. doi:10.1006/jmbi.1998.2233

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Dhananjay Bhattacharyya or Manju Bansal.

Ethics declarations

Funding

This work has been supported by the Department of Atomic Energy, Govt. of India and Department of Biotechnology, Govt. of India. MB is recipient of J.C. Bose National Fellowship from DST, India.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 476 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bhattacharyya, D., Halder, S., Basu, S. et al. RNAHelix: computational modeling of nucleic acid structures with Watson–Crick and non-canonical base pairs. J Comput Aided Mol Des 31, 219–235 (2017). https://doi.org/10.1007/s10822-016-0007-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10822-016-0007-0

Keywords

Navigation