IMPORTANCE OF BIOCOMPUTING AND BIOINFORMATIC
DOI:
https://doi.org/10.61841/77newz76Keywords:
Biocomputing, Bioinformatics, Computational-biology, DNA, Data-Science, Algorithms, Input, Output, Domain knowledge, Functional GenomicsAbstract
Drug design is an expensive, time-consuming, and often unsuccessful process. To avoid this liability, FDA-approved drugs are rapidly repurposed using computational drug repositioning techniques to predict their potential therapeutic benefits in treating various diseases. To find FDA-approved anti-AD drugs, this computational study used methods such as protein modelling, shape-based screening, molecular docking, pharmacogenomics, and molecular dynamics simulation. Using the homology model, the predicted structure of the MADD protein was generated and characterized. Use of various IT tools. The drugs were filtered based on their structural similarity, and donepezil and galantamine were included as standard drugs. The primary and secondary structural features of the protein were calculated using ProtParam and SOPMA, respectively, which revealed that the protein was composed of random coil (41.71%), helix (36.23%), extended fibres (14.06%), and b exists. Consists of. Sales (8.00%). The three-dimensional structure of P. falciparum PABP was not yet available in the PDB. Therefore, homology models of these proteins were developed using the SWISS-MODEL, PHYRE2, and I-TASSER web servers. The models were visualized using RASMOL and their reliability was checked using PROCHECK, Verify3D, and QMEAN. 92.64% of the residues in the predicted model have a mean 3D-1D score. 0.2, indicating that the predicted model matches the sequence. Protein-protein and residueresidue interaction networks were generated from STRING and RING servers, respectively. The 3D ligand server was used to analyze the binding sites of the modelled PABP. This planned structure of P. falciparum PABP will contribute significantly to a better understanding of the protein's function in translation regulation in the parasite and could also provide targets for new therapeutic candidates.
Downloads
References
1. Sadiku, M.N.O., Ampah, N.K., & Musa, S.M. (October 2018).
2. Kumar, H., & Ramaiah, P.S. (2011). "Configuration of FPGA for computerized speech/sound processing for biocomputing systems." *International Journal of Computer Science Issues*, 8(5), 3.
3. Nair, A.S. (January 2007). *University of Kerala*.
4. Ahuja, M.S., & Sharma, S. (2016). "Biological computing: A new paradigm in computing." *Proceedings of the 3rd Conference on Recent Innovations in Science, Technology, Management, and Environment*.
5. Herath, D., Lakmali, C., & Ragel, R. (2012). "Accelerating string matching for bio-computing applications on multicore CPUs." *Proceedings of the IEEE 7th International Conference on Industrial and Information Systems*.
6. Garfinkel, S.L. (2000). "Biological computing." *Technology Review*.
- Ijspeert, J., Murata, M., & Wakamiya, N. (2004). *Biologically Inspired Approaches to Advanced Information Technology*.
7. Kearsley, S.K. (1989). "On the orthogonal transformation used for structural comparisons." *Acta Cryst.*, A45, 208–10.
8. Kernighan, B.W., & Plauger, P.J. (1976). *Software Tools*. Addison-Wesley, Reading, MA.
9. Knuth, D.E. (1998). *The Art of Computer Programming, Vol. 2: Seminumerical Algorithms* (3rd ed.). Addison-Wesley, Reading, MA.
10. Kuhne, T. (1997). "The Function Object Pattern." *C++ Report*, 9, 32–42.
11. McIlroy, D. (1976). "Mass-produced software components." In Naur, P. et al. (Eds.), *Software Engineering Concepts and Techniques, Reprinted Proceedings of the 1968 and 1969 NATO Conferences*. Petrocelli/Charter, pp. 88–98.
12. Kaushik, R.K., & Sharma, D. (2018). "Analyzing the effect of partial shading on performance of grid-connected solar PV system." *3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE)*, 1–4.
13. Kaushik, R., Mahela, O.P., Bhatt, P.K., Khan, B., Padmanaban, S., & Blaabjerg, F. (2020). "A hybrid algorithm for recognition of power quality disturbances." *IEEE Access*, 8, 229184-229200.
14. Kaushik, R.K. (2020). "Pragati: Analysis and case study of power transmission and distribution." *Journal of Advanced Research in Power Electronics and Power Systems*, 7(2), 1–3.
15. Gireesh, K., Manju, K., & Preeti (2016). "Maintenance policies for improving the availability of a software-hardware system." *11th International Conference on Reliability, Maintainability, and Safety (ICRMS)*, IEEE.
16. Jain, M., Kaushik, M., & Kumar, G. (2015). "Reliability analysis for embedded system with two types of faults and common cause failure using Markov process." *Proceedings of the Sixth International Conference on Computer and Communication Technology 2015*. New York, NY, USA: ACM.
17. Kaushik, M., et al. (2015). "Availability analysis for embedded system with N-version programming using fuzzy approach." *International Journal of Software Engineering Technology and Applications*, 1(1), 90. doi: 10.1504/ijseta.2015.067533.
Downloads
Published
Issue
Section
License
Copyright (c) 2020 AUTHOR
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
