Structure-Based Simulations for Folding of a tRNA Isodecoder
Abstract
1. Introduction
2. Results
2.1. Folding of Modified
2.2. Folding of Unmodified
2.3. Local Dynamics Around G27* During Folding
3. Discussion
4. Materials and Methods
4.1. Descriptions of the Unfolded and Folded States
4.2. All-Atom G-Model Simulations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| aas | Amino Acid Acceptor Stem |
| asl | Anticodon Stem Loop |
| CHARMM | Chemistry at Harvard Macromolecular Mechanics |
| dsl | D-stem Loop |
| mRNA | Messenger Ribonucleic Acid |
| MD | Molecular Dynamics |
| NAMD | Nanoscale Molecular Dynamics |
| tRNA | Transfer Ribonucleic Acid |
| Arginine Transfer Ribonucleic Acid | |
| tsl | T-stem Loop |
| vl | Variable Loop |
Appendix A






References
- Biela, A.; Hammermeister, A.; Kaczmarczyk, I.; Walczak, M.; Koziej, L.; Lin, T.Y.; Glatt, S. The diverse structural modes of tRNA binding and recognition. J. Biol. Chem. 2023, 299, 104966. [Google Scholar] [CrossRef]
- Zhang, J. Recognition of the tRNA structure: Everything everywhere but not all at once. Cell Chem. Biol. 2024, 31, 36–52. [Google Scholar] [CrossRef]
- Tamura, K. Origins and early evolution of the tRNA molecule. Life 2015, 5, 1687–1699. [Google Scholar] [CrossRef]
- Abbott, J.A.; Francklyn, C.S.; Robey-Bond, S.M. Transfer RNA and human disease. Front. Genet. 2014, 5, 158. [Google Scholar] [CrossRef] [PubMed]
- Orellana, E.A.; Siegal, E.; Gregory, R.I. tRNA dysregulation and disease. Nat. Rev. Genet. 2022, 23, 651–664. [Google Scholar] [CrossRef] [PubMed]
- Lyons, S.M.; Fay, M.M.; Ivanov, P. The role of RNA modifications in the regulation of tRNA cleavage. FEBS Lett. 2018, 592, 2828–2844. [Google Scholar] [CrossRef] [PubMed]
- Pan, T. Modifications and functional genomics of human transfer RNA. Cell Res. 2018, 28, 395–404. [Google Scholar] [CrossRef] [PubMed]
- Anastassiadis, T.; Köhrer, C. Ushering in the era of tRNA medicines. J. Biol. Chem. 2023, 299, 105246. [Google Scholar] [CrossRef]
- Albers, S.; Beckert, B.; Matthies, M.C.; Mandava, C.S.; Schuster, R.; Seuring, C.; Riedner, M.; Sanyal, S.; Torda, A.E.; Wilson, D.N.; et al. Repurposing tRNAs for nonsense suppression. Nat. Commun. 2021, 12, 3850. [Google Scholar] [CrossRef]
- Wei, J.; He, C. RNA modifications in gene regulation: Functions and pathways. Cell 2026, 189, 1591–1619. [Google Scholar] [CrossRef]
- Chou, H.J.; Donnard, E.; Gustafsson, H.T.; Garber, M.; Rando, O.J. Transcriptome-wide analysis of roles for tRNA modifications in translational regulation. Mol. Cell 2017, 68, 978–992. [Google Scholar] [CrossRef] [PubMed]
- de Crécy-Lagard, V.; Boccaletto, P.; Mangleburg, C.G.; Sharma, P.; Lowe, T.M.; Leidel, S.A.; Bujnicki, J.M. Matching tRNA modifications in humans to their known and predicted enzymes. Nucleic Acids Res. 2019, 47, 2143–2159. [Google Scholar] [CrossRef]
- Suzuki, T. The expanding world of tRNA modifications and their disease relevance. Nat. Rev. Mol. Cell Biol. 2021, 22, 375–392. [Google Scholar] [CrossRef]
- Orellana, E.A.; Liu, Q.; Yankova, E.; Pirouz, M.; De Braekeleer, E.; Zhang, W.; Lim, J.; Aspris, D.; Sendinc, E.; Garyfallos, D.A.; et al. METTL1-mediated m7G modification of Arg-TCT tRNA drives oncogenic transformation. Mol. Cell 2021, 81, 3323–3338. [Google Scholar] [CrossRef]
- Edqvist, J.; Grosjean, H.; Stråby, K.B. Identity elements for N2-dimethylation of guanosine-26 in yeast tRNAs. Nucleic Acids Res. 1992, 20, 6575–6581. [Google Scholar] [CrossRef]
- Petrosyan, J.; Bohnsack, K.E. N2-methylguanosine and N2,N2-dimethylguanosine in cytosolic and mitochondrial tRNAs. Front. RNA Res. 2024, 2, 1460913. [Google Scholar] [CrossRef]
- Lorenz, C.; Lünse, C.E.; Mörl, M. tRNA modifications: Impact on structure and thermal adaptation. Biomolecules 2017, 7, 35. [Google Scholar] [CrossRef] [PubMed]
- Motorin, Y.; Helm, M. tRNA stabilization by modified nucleotides. Biochemistry 2010, 49, 4934–4944. [Google Scholar] [CrossRef]
- Zhang, K.; Manning, A.C.; Lentini, J.M.; Howard, J.; Dalwigk, F.; Maroofian, R.; Efthymiou, S.; Chan, P.; Eliseev, S.I.; Yang, Z.; et al. Human TRMT1 and TRMT1L paralogs ensure the proper modification state, stability, and function of tRNAs. Cell Rep. 2025, 44, 115092. [Google Scholar] [CrossRef] [PubMed]
- Kapur, M.; Molumby, M.J.; Guzman, C.; Heinz, S.; Ackerman, S.L. Cell-type-specific expression of tRNAs in the brain regulates cellular homeostasis. Neuron 2024, 112, 1397–1415. [Google Scholar] [CrossRef]
- Ishimura, R.; Nagy, G.; Dotu, I.; Zhou, H.; Yang, X.L.; Schimmel, P.; Senju, S.; Nishimura, Y.; Chuang, J.H.; Ackerman, S.L. Ribosome stalling induced by mutation of a CNS-specific tRNA causes neurodegeneration. Science 2014, 345, 455–459. [Google Scholar] [CrossRef]
- Kapur, M.; Ganguly, A.; Nagy, G.; Adamson, S.I.; Chuang, J.H.; Frankel, W.N.; Ackerman, S.L. Expression of the neuronal tRNA n-Tr20 regulates synaptic transmission and seizure susceptibility. Neuron 2020, 108, 193–208. [Google Scholar] [CrossRef] [PubMed]
- Orellana, E.A.; Bowles, I.E.; Yang, X.; Torres, A.; Jamieson, S.R.; Ali, R.H.; Gutierrez, A.; Gregory, R.I. Targeting tRNA-Arg-TCT-4-1 suppresses cancer cell growth and tumorigenesis. bioRxiv 2026. [Google Scholar] [CrossRef]
- Okamoto, M.; Fujiwara, M.; Hori, M.; Okada, K.; Yazama, F.; Konishi, H.; Xiao, Y.; Qi, G.; Shimamoto, F.; Ota, T.; et al. tRNA modifying enzymes, NSUN2 and METTL1, determine sensitivity to 5-fluorouracil in HeLa cells. PLoS Genet. 2014, 10, e1004639. [Google Scholar] [CrossRef] [PubMed]
- Lv, X.; Zhang, R.; Li, S.; Jin, X. tRNA modifications and dysregulation: Implications for brain diseases. Brain Sci. 2024, 14, 633. [Google Scholar] [CrossRef]
- Bhaskaran, H.; Rodriguez-Hernandez, A.; Perona, J.J. Kinetics of tRNA folding monitored by aminoacylation. RNA 2012, 18, 569–580. [Google Scholar] [CrossRef]
- Hwang, S.P.; Liao, H.; Barondeau, K.; Han, X.; Herbert, C.; McConie, H.; Shekar, A.; Pestov, D.G.; Limbach, P.A.; Chang, J.T.; et al. TRMT1L-catalyzed m22G27 on tyrosine tRNA is required for efficient mRNA translation and cell survival under oxidative stress. Cell Rep. 2025, 44, 115167. [Google Scholar] [CrossRef]
- McCrate, N.E.; Varner, M.E.; Kim, K.I.; Nagan, M.C. Molecular dynamics simulations of human: The role of modified bases in mRNA recognition. Nucleic Acids Res. 2006, 34, 5361–5368. [Google Scholar] [CrossRef]
- Kumbhar, N.M.; Kumbhar, B.V.; Sonawane, K.D. Structural significance of hypermodified nucleic acid base hydroxywybutine (OHyW) which occur at 37th position in the anticodon loop of yeast tRNAPhe. J. Mol. Graph. Model. 2012, 38, 174–185. [Google Scholar] [CrossRef]
- Bavi, R.S.; Sambhare, S.B.; Sonawane, K.D. MD simulation studies to investigate iso-energetic conformational behaviour of modified nucleosides m2G and m22G present in tRNA. Comput. Struct. Biotechnol. J. 2013, 5, e201302015. [Google Scholar] [CrossRef]
- Zhang, X.; Walker, R.C.; Phizicky, E.M.; Mathews, D.H. Influence of sequence and covalent modifications on yeast tRNA dynamics. J. Chem. Theory Comput. 2014, 10, 3473–3483. [Google Scholar] [CrossRef] [PubMed]
- Sonawane, K.D.; Sambhare, S.B. The influence of hypermodified nucleosides lysidine and t6A to recognize the AUA codon instead of AUG: A molecular dynamics simulation study. Integr. Biol. 2015, 7, 1387–1395. [Google Scholar] [CrossRef]
- Fandilolu, P.M.; Kamble, A.S.; Dound, A.S.; Sonawane, K.D. Role of wybutosine and Mg2+ ions in modulating the structure and function of tRNAPhe: A molecular dynamics study. ACS Omega 2019, 4, 21327–21339. [Google Scholar] [CrossRef]
- Prabhakar, P.S.; Takyi, N.A.; Wetmore, S.D. Posttranscriptional modifications at the 37th position in the anticodon stem–loop of tRNA: Structural insights from MD simulations. RNA 2021, 27, 202–220. [Google Scholar] [CrossRef] [PubMed]
- Vangaveti, S.; Ranganathan, S.V.; Agris, P.F. Physical chemistry of a single tRNA-modified nucleoside regulates decoding of the synonymous lysine wobble codon and affects type 2 diabetes. J. Phys. Chem. B 2022, 126, 1168–1177. [Google Scholar] [CrossRef] [PubMed]
- Berger, K.D.; Puthenpeedikakkal, A.M.; Mathews, D.H.; Fu, D. Structural impact of 3-methylcytosine modification on the anticodon stem-loop of a neuronally-enriched arginine tRNA. J. Mol. Biol. 2025, 437, 169096. [Google Scholar] [CrossRef]
- Hollingsworth, S.A.; Dror, R.O. Molecular dynamics simulation for all. Neuron 2018, 99, 1129–1143. [Google Scholar] [CrossRef]
- Gershenson, A.; Gosavi, S.; Faccioli, P.; Wintrode, P.L. Successes and challenges in simulating the folding of large proteins. J. Biol. Chem. 2020, 295, 15–33. [Google Scholar] [CrossRef]
- Takada, S. Gō model revisited. Biophys. Physicobiol. 2019, 16, 248–255. [Google Scholar] [CrossRef]
- Taketomi, H.; Ueda, Y.; Gō, N. Studies on protein folding, unfolding and fluctuations by computer simulations: I. The effect of specific amino acid sequence represented by specific inter-unit interactions. Int. J. Pept. 1975, 7, 445–459. [Google Scholar] [CrossRef]
- Ueda, Y.; Taketomi, H.; Gō, N. Studies on protein folding, unfolding, and fluctuations by computer simulation. II. A. Three-dimensional lattice model of lysozyme. Biopolymers 1978, 17, 1531–1548. [Google Scholar] [CrossRef]
- Gō, N.; Taketomi, H. Studies on protein folding, unfolding and fluctuations by computer simulations III. Effect of short-range interactions. Int. J. Pept. Protein Res. 1979, 13, 235–252. [Google Scholar] [CrossRef]
- Gō, N. Theoretical studies of protein folding. Annu. Rev. Biophys. Bioeng. 1983, 12, 183–210. [Google Scholar] [CrossRef] [PubMed]
- Salicari, L.; Baiesi, M.; Orlandini, E.; Trovato, A. Folding kinetics of an entangled protein. PLoS Comput. Biol. 2023, 19, e1011107. [Google Scholar] [CrossRef] [PubMed]
- Baweja, L.; Roche, J. Pushing the limits of structure-based models: Prediction of nonglobular protein folding and fibrils formation with go-model simulations. J. Phys. Chem. B 2018, 122, 2525–2535. [Google Scholar] [CrossRef] [PubMed]
- Whitford, P.C.; Noel, J.K.; Gosavi, S.; Schug, A.; Sanbonmatsu, K.Y.; Onuchic, J.N. An all-atom structure-based potential for proteins: Bridging minimal models with all-atom empirical forcefields. Proteins 2009, 75, 430–441. [Google Scholar] [CrossRef]
- Dias, R.V.; Pedro, R.P.; Sanches, M.N.; Moreira, G.C.; Leite, V.B.; Caruso, I.P.; de Melo, F.A.; de Oliveira, L.C. Unveiling metastable ensembles of GRB2 and the relevance of interdomain communication during folding. J. Chem. Inf. Model. 2023, 63, 6344–6353. [Google Scholar] [CrossRef]
- Whitford, P.C.; Schug, A.; Saunders, J.; Hennelly, S.P.; Onuchic, J.N.; Sanbonmatsu, K.Y. Nonlocal helix formation is key to understanding S-adenosylmethionine-1 riboswitch function. Biophys. J. 2009, 96, L7–L9. [Google Scholar] [CrossRef]
- Feng, J.; Walter, N.G.; Brooks, C.L., III. Cooperative and directional folding of the preQ1 riboswitch aptamer domain. J. Am. Chem. Soc. 2011, 133, 4196–4199. [Google Scholar] [CrossRef][Green Version]
- Pallan, P.S.; Kreutz, C.; Bosio, S.; Micura, R.; Egli, M. Effects of N2,N2-dimethylguanosine on RNA structure and stability: Crystal structure of an RNA duplex with tandem m22G:A pairs. RNA 2008, 14, 2125–2135. [Google Scholar] [CrossRef]
- Thirumalai, D.; Lee, N.; Woodson, S.A.; Klimov, D. Early events in RNA folding. Annu. Rev. Phys. Chem. 2001, 52, 751–762. [Google Scholar] [CrossRef]
- Tinoco, I., Jr.; Bustamante, C. How RNA folds. J. Mol. Biol. 1999, 293, 271–281. [Google Scholar] [CrossRef]
- Chan, P.P.; Lowe, T.M. GtRNAdb: A database of transfer RNA genes detected in genomic sequence. Nucleic Acids Res. 2009, 37, D93–D97. [Google Scholar] [CrossRef]
- Chan, P.P.; Lowe, T.M. GtRNAdb 2.0: An expanded database of transfer RNA genes identified in complete and draft genomes. Nucleic Acids Res. 2016, 44, D184–D189. [Google Scholar] [CrossRef]
- Wang, W.; Feng, C.; Han, R.; Wang, Z.; Ye, L.; Du, Z.; Wei, H.; Zhang, F.; Peng, Z.; Yang, J. trRosettaRNA: Automated prediction of RNA 3D structure with transformer network. Nat. Commun. 2023, 14, 7266. [Google Scholar] [CrossRef]
- Shi, H.; Moore, P.B. The crystal structure of yeast phenylalanine tRNA at 1.93 Å resolution: A classic structure revisited. RNA 2000, 6, 1091–1105. [Google Scholar] [CrossRef]
- Foloppe, N.; MacKerell, A.D., Jr. All-atom empirical force field for nucleic acids: I. Parameter optimization based on small molecule and condensed phase macromolecular target data. J. Comput. Chem. 2000, 21, 86–104. [Google Scholar] [CrossRef]
- Denning, E.J.; Priyakumar, U.D.; Nilsson, L.; Mackerell, A.D., Jr. Impact of 2′-hydroxyl sampling on the conformational properties of RNA: Update of the CHARMM all-atom additive force field for RNA. J. Comput. Chem. 2011, 32, 1929–1943. [Google Scholar] [CrossRef]
- Xu, Y.; Vanommeslaeghe, K.; Aleksandrov, A.; MacKerell, A.D., Jr.; Nilsson, L. Additive CHARMM force field for naturally occurring modified ribonucleotides. J. Comput. Chem. 2016, 37, 896–912. [Google Scholar] [CrossRef] [PubMed]
- Humphrey, W.; Dalke, A.; Schulten, K. VMD: Visual molecular dynamics. J. Mol. Graph. 1996, 14, 33–38. [Google Scholar] [CrossRef] [PubMed]
- Filimonov, V.V.; Privalov, P.L.; Hinz, H.J.; Von Der Haar, F.; Cramer, F. Calorimetric investigations on thermal stability of tRNAIle (yeast) and tRNASer (yeast). Eur. J. Biochem. 1976, 70, 25–31. [Google Scholar] [CrossRef]
- Hinz, H.J.; Filimonov, V.V.; Privalov, P.L. Calorimetric studies on melting of tRNAPhe (yeast). Eur. J. Biochem. 1977, 72, 79–86. [Google Scholar] [CrossRef] [PubMed]
- Mikulecky, P.J.; Feig, A.L. Heat capacity changes associated with nucleic acid folding. Biopolymers 2006, 82, 38–58. [Google Scholar] [CrossRef] [PubMed]
- Kowalak, J.A.; Dalluge, J.J.; McCloskey, J.A.; Stetter, K.O. The role of posttranscriptional modification in stabilization of transfer RNA from hyperthermophiles. Biochemistry 1994, 33, 7869–7876. [Google Scholar] [CrossRef]
- Phillips, J.C.; Hardy, D.J.; Maia, J.D.; Stone, J.E.; Ribeiro, J.V.; Bernardi, R.C.; Buch, R.; Fiorin, G.; Hénin, J.; Jiang, W.; et al. Scalable molecular dynamics on CPU and GPU architectures with NAMD. J. Chem. Phys. 2020, 153, 044130. [Google Scholar] [CrossRef]
- Wang, J.; Oliveira, R.J.; Chu, X.; Whitford, P.C.; Chahine, J.; Han, W.; Wang, E.; Onuchic, J.N.; Leite, V.B. Topography of funneled landscapes determines the thermodynamics and kinetics of protein folding. Proc. Natl. Acad. Sci. USA 2012, 109, 15763–15768. [Google Scholar] [CrossRef] [PubMed]




Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Levintov, L.; Orellana, E.A.; Vashisth, H. Structure-Based Simulations for Folding of a tRNA Isodecoder. Molecules 2026, 31, 1555. https://doi.org/10.3390/molecules31101555
Levintov L, Orellana EA, Vashisth H. Structure-Based Simulations for Folding of a tRNA Isodecoder. Molecules. 2026; 31(10):1555. https://doi.org/10.3390/molecules31101555
Chicago/Turabian StyleLevintov, Lev, Esteban A. Orellana, and Harish Vashisth. 2026. "Structure-Based Simulations for Folding of a tRNA Isodecoder" Molecules 31, no. 10: 1555. https://doi.org/10.3390/molecules31101555
APA StyleLevintov, L., Orellana, E. A., & Vashisth, H. (2026). Structure-Based Simulations for Folding of a tRNA Isodecoder. Molecules, 31(10), 1555. https://doi.org/10.3390/molecules31101555

