Abstract
To study and compare the simulation methods on the different scoring functions to analyze the consistency of the Docking score between the aptamers and protein. Thrombin is well characterized and has been studied with the thrombin binding aptamer (TBA) and mutated TBA sequences in a previous report, which finds three representative aptamers have best, medium, and worst binding interactions with thrombin. Discovery Studio 3.5 is a useful modeling and simulation software. The ZDOCK in this package incorporates a simple and novel scoring function: Pairwise Shape Complementarity. By using ZDOCK, we also can evaluate the differences in the binding ability between the interactions of the thrombin and aptamers. Basically, our results are consistent with the previous report. From this study, we make sure that the ZDOCK can provide reliable results and able be used as an alternative method in performing in silico selection of aptamer.
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References
Brown CJ, Dastidar SG, See HY, Coomber DW, Ortiz-Lombardia M, Verma C, Lane DP (2010) Rational design and biophysical characterization of thioredoxin-based aptamers: insights into peptide grafting. J Mol Biol 395:871–883
Gabb HA, Jackson RM, Sternberg MJE (1997) Modeling protein docking using shape complementarity, electrostatics and biochemical information. J Molec Bio 272:106–120
Mandell JG, Roberts VA, Pique ME, Kotlovyi V, Mitchell JC, Nelson E, Tsigelny I, Ten Eyck LF (2001) Protein docking using continuum electrostatics and geometric fit. Prot Eng 14:105–113
Vakser IA (1997) Evaluation of GRAMM low-resolution docking methodology on the hemagglutinin-antibody complex. Proteins. Sl:226–230
Chen R, Mintseris J, Janin J, Weng Z (2003) A protein-protein docking benchmark. Proteins 52:88–91
Pierce B, Weng Z (2008) A combination of rescoring and refinement significantly improves protein docking performance. Proteins 72:270–279
Chen R, Weng Z (2003) ZDOCK: an Initial-stage protein-docking algorithm. Proteins 52:80–87
Chen R, Weng Z (2003) A novel shape complementarity scoring function for protein-protein docking. Proteins 51:397–408
Vajda S, Camacho CJ (2004) Protein-protein docking: is the glass half-full or half-empty? Trends Biotech 22:110–116
Macaya RF, Schultze P, Smith FW, Roe JA, Feigon J (1993) Thrombin-binding DNA aptamer forms a unimolecular quadruplex structure in solution. Proc Natl Acad Sci USA 90:3745–3749
Bini A, Mascini M, Mascini M, Turner AP (2011) Selection of thrombin-binding aptamers by using computational approach for aptasensor application. Biosens Bioelectron 26:4411–4416
Acknowledgments
The authors gratefully acknowledge the financial support provided by Asia University (Taiwan) under contract number 101-asia-23.
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Kumar, J.V., Chen, WY., Tsai, J.J., Hu, WP. (2013). Molecular Simulation Methods for Selecting Thrombin-Binding Aptamers. In: Park, J.J., Barolli, L., Xhafa, F., Jeong, H.Y. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_78
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DOI: https://doi.org/10.1007/978-94-007-6996-0_78
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