Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the International Conference on Modern Medicine and Global Health (ICMMGH 2023)
Series Vol. 6 , 03 August 2023
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Protein prediction algorithms: homology modeling, AlphaFold, and Foldit
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Abstract
Protein, one of the most basic structures of biological molecules, have its own four level structure that corresponds with its function. The structures make every protein unique and diverse. Studies of protein must be based on the understanding on protein's structure. Thus, methods must be applied to predict the protein structure. Old methods include homology modeling that are both expensive and time consuming. With the development of modern technology, new methods such as Foldit and AlphaFold was invented. The report would introduce these methods and comparisons would be made between these methods.The introduction aims to improve the understanding about protein prediction for relative researchers.
Keywords
protein structures, algorithms, homology modeling, alphaFold, FOLDIT
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the International Conference on Modern Medicine and Global Health (ICMMGH 2023)
- ISBN (Print)
- 978-1-915371-65-2
- ISBN (Online)
- 978-1-915371-66-9
- Published Date
- 03 August 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/6/20230263
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited