Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning.
Amino acid identification is crucial across various scientific disciplines, including biochemistry, pharmaceutical research, and medical diagnostics. However, traditional methods such as mass spectrometry require extensive sample preparation and are time-consuming, complex and costly. Therefore, thi...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0317130 |
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| author | Ridhanya Sree Balamurugan Yusuf Asad Tommy Gao Dharmakeerthi Nawarathna Umamaheswara Rao Tida Dali Sun |
| author_facet | Ridhanya Sree Balamurugan Yusuf Asad Tommy Gao Dharmakeerthi Nawarathna Umamaheswara Rao Tida Dali Sun |
| author_sort | Ridhanya Sree Balamurugan |
| collection | DOAJ |
| description | Amino acid identification is crucial across various scientific disciplines, including biochemistry, pharmaceutical research, and medical diagnostics. However, traditional methods such as mass spectrometry require extensive sample preparation and are time-consuming, complex and costly. Therefore, this study presents a pioneering Machine Learning (ML) approach for automatic amino acid identification by utilizing the unique absorption profiles from an Elliptical Dichroism (ED) spectrometer. Advanced data preprocessing techniques and ML algorithms to learn patterns from the absorption profiles that distinguish different amino acids were investigated to prove the feasibility of this approach. The results show that ML can potentially revolutionize the amino acid analysis and detection paradigm. |
| format | Article |
| id | doaj-art-6669965921f5422ba8c7811b387cde3a |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-6669965921f5422ba8c7811b387cde3a2025-02-05T05:31:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031713010.1371/journal.pone.0317130Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning.Ridhanya Sree BalamuruganYusuf AsadTommy GaoDharmakeerthi NawarathnaUmamaheswara Rao TidaDali SunAmino acid identification is crucial across various scientific disciplines, including biochemistry, pharmaceutical research, and medical diagnostics. However, traditional methods such as mass spectrometry require extensive sample preparation and are time-consuming, complex and costly. Therefore, this study presents a pioneering Machine Learning (ML) approach for automatic amino acid identification by utilizing the unique absorption profiles from an Elliptical Dichroism (ED) spectrometer. Advanced data preprocessing techniques and ML algorithms to learn patterns from the absorption profiles that distinguish different amino acids were investigated to prove the feasibility of this approach. The results show that ML can potentially revolutionize the amino acid analysis and detection paradigm.https://doi.org/10.1371/journal.pone.0317130 |
| spellingShingle | Ridhanya Sree Balamurugan Yusuf Asad Tommy Gao Dharmakeerthi Nawarathna Umamaheswara Rao Tida Dali Sun Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. PLoS ONE |
| title | Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. |
| title_full | Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. |
| title_fullStr | Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. |
| title_full_unstemmed | Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. |
| title_short | Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. |
| title_sort | automating the amino acid identification in elliptical dichroism spectrometer with machine learning |
| url | https://doi.org/10.1371/journal.pone.0317130 |
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