User as a bitter tastant: immersive experience within the binding region of a bitter taste receptor
- a Tommy Dang ,
- b Anuththara Lokubandara ,
- c Ngan N.V. Nguyen ,
- d Peter C. Lai ,
- e Vinh T. Nguyen ,
- f Chiquito Crasto
- a,c,e Computer Science Department, Texas Tech University, 2500 Broadway, Lubbock, TX 79409, USA
- b,f Center for Biotechnology and Genomics, Texas Tech University, 2500 Broadway, Lubbock, TX 79409, USA
- d Pratt and Whitney, Middletown, CT, 06457, USA
Cite as
Dang T., Lokubandara A., Nguyen N.N.V., Lai P.C., Nguyen V.T., Crasto C. (2020). User as a bitter tastant: immersive experience within the binding region of a bitter taste receptor. Proceedings of the 19th International
Conference on Modeling & Applied Simulation (MAS 2020), pp. 146-153. DOI: https://doi.org/10.46354/i3m.2020.mas.019
Abstract
This paper describes the development of a Virtual Reality (VR) system to obtain mechanistic insights into receptor-ligand interactions from the perspective of a bitter taste. The system allows a human-user to ""become""
the tastant-ligand and interact with the bitter taste receptor in its binding region. Computational models of 15 bitter taste receptors were developed. Each model provides a comprehensive view of the varied structural
and functional features of the bitter taste receptor. The user can obtain a view of the receptor protein model at a) the atomic level; b) the secondary structure; and, c) the surface. The system can be accessed
by using a VR headset as well as through touch controllers. Users can navigate among and compare 3D models of the selected receptors, while also experiencing environmental feedback. The implications of such a study
are critical to the field of drug-design in the clinical-pharmaceutical industry. Five domain-expert scientists and clinicians evaluated the usability of the VR system. Our work also represents an important educational
tool.
References
- Andres-Barquin, P. J. and Conte, C. (2004). Molecular basis of bitter taste. Cell biochemistry and biophysics, 41(1):99–112.
- Assadi-Porter, F. M., Maillet, E. L., Radek, J. T., Quijada, J., Markley, J. L., and Max, M. (2010). Key amino acid residues involved in multi-point binding interactions between brazzein, a sweet protein,
and the t1r2–t1r3 human sweet receptor. Journal of molecular biology, 398(4):584–599.
- Bachmanov, A. A. and Beauchamp, G. K. (2007). Taste receptor genes. Annu. Rev. Nutr., 27:389–414.
- Bradbury, J. (2004). Taste perception: cracking the code. PLoS biology, 2(3).
- Crasto, C. J. (2010). Hydrophobicity profiles in g protein-coupled receptor transmembrane helical domains. Journal of receptor, ligand and channel research, 2010(3):123.
- Dang, T. N., Wilkinson, L., and Anand, A. (2010). Stacking graphic elements to avoid over-plotting. IEEE Transactions on Visualization and Computer Graphics, 16(6):1044–1052.
- Dickson, P. E. (2015). Using unity to teach game development: When you’ve never written a game. In Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, pages 75–80
- Dotson, C. D., Vigues, S., Steinle, N. I., and Munger, S. D. (2010). T1r and t2r receptors: the modulation of incretin hormones and potential targets for the treatment of type 2 diabetes mellitus. Current opinion
in investigational drugs (London, England: 2000), 11(4):447.
- Floriano, W. B., Hall, S., Vaidehi, N., Kim, U., Drayna, D., and Goddard, W. A. (2006). Modeling the human ptc bitter-taste receptor interactions with bitter tastants. Journal of molecular modeling, 12(6):931–941.
- Hamdi, M. and Ferreira, A. (2006). Dna-based bionanorobotic components using vr-enhanced cad design. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1921–1926. IEEE.
- Hauser, A. S., Chavali, S., Masuho, I., Jahn, L. J., Martemyanov, K. A., Gloriam, D. E., and Babu, M. M. (2018). Pharmacogenomics of gpcr drug targets. Cell, 172(1-2):41–54.
- Hill, S. J. (2006). G-protein-coupled receptors: past, present and future. British journal of pharmacology, 147(S1):S27–S37.
- Interactive Data Visualization Lab (2020). Mental Rotation Test. Texas Tech University. https://alexnguyen.github.io/mental_rotation/
- Jo, S., Kim, T., Iyer, V. G., and Im, W. (2008). Charmm-gui: a web-based graphical user interface for charmm. Journal of computational chemistry, 29(11):1859–1865.
- Krogh, A., Larsson, B., Von Heijne, G., and Sonnhammer, E. L. (2001). Predicting transmembrane protein topology with a hidden markov model: application to complete genomes. Journal of molecular biology, 305(3):567–580.
- Lai, P. C. and Crasto, C. J. (2012). Beyond modeling: allatom olfactory receptor model simulations. Frontiers in genetics, 3:61.
- Lai, P. C., Guida, B., Shi, J., and Crasto, C. J. (2014). Preferential binding of an odor within olfactory receptors: a precursor to receptor activation. Chemical senses, 39(2):107–123.
- Li, X., Staszewski, L., Xu, H., Durick, K., Zoller, M., and Adler, E. (2002). Human receptors for sweet and umami taste. Proceedings of the National Academy of Sciences, 99(7):4692–4696.
- Lindemann, B. (1996). Taste reception. Physiological reviews, 76(3):719–766.
- Nguyen, V. T. and Dang, T. (2017). Setting up virtual reality and augmented reality learning environment in unity. In 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), pages 315–320.
- Nguyen, V. T., Hite, R., and Dang, T. (2019a). Learners’ technological acceptance of vr content development: A sequential 3-part use case study of diverse postsecondary students. International Journal of Semantic Computing,
13(03):343–366.
- Nguyen, V. T., Jung, K., and Dang, T. (2019b). Creating virtual reality and augmented reality development in classroom: Is it a hype? In AIVR, pages 212–217.
- Nielsen, J. (1995). How to conduct a heuristic evaluation. Nielsen Norman Group, 1:1–8.
- Niimura, Y., Matsui, A., and Touhara, K. (2014). Extreme expansion of the olfactory receptor gene repertoire in african elephants and evolutionary dynamics of orthologous gene groups in 13 placental mammals. Genome
research, 24(9):1485–1496.
- Okada, T., Sugihara, M., Bondar, A.-N., Elstner, M., Entel, P., and Buss, V. (2004). The retinal conformation and its environment in rhodopsin in light of a new 2.2 å crystal structure. Journal of molecular biology,
342(2):571–583.
- Olender, T., Nativ, N., and Lancet, D. (2013). Horde: comprehensive resource for olfactory receptor genomics. In Olfactory Receptors, pages 23–38. Springer
- Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., and Ferrin, T. E. (2004). Ucsf chimera—a visualization system for exploratory research and analysis. Journal of
computational chemistry, 25(13):1605–1612.
- Rasmussen, S. G., Choi, H.-J., Rosenbaum, D. M., Kobilka, T. S., Thian, F. S., Edwards, P. C., Burghammer, M., Ratnala, V. R., Sanishvili, R., Fischetti, R. F., et al. (2007). Crystal structure of the human β
2 adrenergic g-protein-coupled receptor. Nature, 450(7168):383–387.
- Safadel, P. et al. (2016). Examining the effects of augmented reality in teaching and learning environments that have spatial frameworks. PhD thesis.
- Sharma, L., Jin, R., Prabhakaran, B., and Gans, M. (2018). Learndna: an interactive vr application for learning dna structure. In Proceedings of the 3rd International Workshop on Interactive and Spatial Computing, pages
80–87.
- Shneiderman, B. (2003). The eyes have it: A task by data type taxonomy for information visualizations. In The craft of information visualization, pages 364–371. Elsevier.
- T. Nguyen, V., Hite, R., and Dang, T. (2018). Webbased virtual reality development in classroom: From learner’s perspectives. In 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR),
pages 11–18.
- Tan, S. and Waugh, R. (2013). Use of virtual-reality in teaching and learning molecular biology. In 3D immersive and interactive learning, pages 17–43. Springer.
- Technologies, N. (2019). Gloveone: Feel virtual reality. Towle, E., Mann, J., Kinsey, B., O’Brien, E. J., Bauer, C. F., and Champoux, R. (2005). Assessing the self efficacy and spatial ability of engineering
students from multiple disciplines. In Proceedings Frontiers in Education 35th Annual Conference, pages S2C–15. IEEE.
- Treesukosol, Y., Smith, K. R., and Spector, A. C. (2011). The functional role of the t1r family of receptors in sweet taste and feeding. Physiology & behavior, 105(1):14–26.
- Tse, C.-M., Li, H., Leung, K.-S., Lee, K.-H., and Wong, M.-H. (2011). Interactive drug design in virtual reality. In 2011 15th International Conference on Information Visualisation, pages 226–231. IEEE.
- Venkatakrishnan, A., Deupi, X., Lebon, G., Tate, C. G., Schertler, G. F., and Babu, M. M. (2013). Molecular signatures of g-protein-coupled receptors. Nature, 494(7436):185–194.
- Won, M., Mocerino, M., Tang, K.-S., Treagust, D. F., and Tasker, R. (2019). Interactive immersive virtual reality to enhance students’ visualisation of complex molecules. In Research and Practice in Chemistry Education,
pages 51–64. Springer
Volume Details
Volume Title
Proceedings of the 19th International Conference on Modeling & Applied Simulation (MAS 2020)
Conference Location and Date
Online
September 16-18, 2020
Conference ISSN
2724-0037
Volume ISBN
978-88-85741-48-5
Volume Editors
Agostino G. Bruzzone
MITIM-DIME, University of Genoa, Italy
Fabio De Felice
University of Cassino, Italy
Marina Massei
University of Genoa, Italy
Adriano Solis
York University, Canada
MAS 2020 Board
Marina Massei
General Co-Chair
University of Genoa, Italy
Adriano Solis
General Co-Chair
York University, Canada
Fabio De Felice
Program Chair
University of Cassino, Italy
Copyright
© 2020 The Authors. The articles are open access and distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license.