Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks
In recent time, data analysis using machine learning accelerates optimized solutions on clinical healthcare systems. The machine learning methods greatly offer an efficient prediction ability in diagnosis system alternative with the clinicians. Most of the systems operate on the extracted features f...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2021-06-01
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| Series: | Big Data Mining and Analytics |
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| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2020.9020007 |
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| author | Natarajan Yuvaraj Kannan Srihari Selvaraj Chandragandhi Rajan Arshath Raja Gaurav Dhiman Amandeep Kaur |
| author_facet | Natarajan Yuvaraj Kannan Srihari Selvaraj Chandragandhi Rajan Arshath Raja Gaurav Dhiman Amandeep Kaur |
| author_sort | Natarajan Yuvaraj |
| collection | DOAJ |
| description | In recent time, data analysis using machine learning accelerates optimized solutions on clinical healthcare systems. The machine learning methods greatly offer an efficient prediction ability in diagnosis system alternative with the clinicians. Most of the systems operate on the extracted features from the patients and most of the predicted cases are accurate. However, in recent time, the prevalence of COVID-19 has emerged the global healthcare industry to find a new drug that suppresses the pandemic outbreak. In this paper, we design a Deep Neural Network (DNN) model that accurately finds the protein-ligand interactions with the drug used. The DNN senses the response of protein-ligand interactions for a specific drug and identifies which drug makes the interaction that combats effectively the virus. With limited genome sequence of Indian patients submitted to the GISAID database, we find that the DNN system is effective in identifying the protein-ligand interactions for a specific drug. |
| format | Article |
| id | doaj-art-993c8cfd76a34f869391d0dfa3c34f99 |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-993c8cfd76a34f869391d0dfa3c34f992025-02-02T06:50:33ZengTsinghua University PressBig Data Mining and Analytics2096-06542021-06-0142768310.26599/BDMA.2020.9020007Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural NetworksNatarajan Yuvaraj0Kannan Srihari1Selvaraj Chandragandhi2Rajan Arshath Raja3Gaurav Dhiman4Amandeep Kaur5<institution>St. Peter’s Institute of Higher Education and Research</institution>, <city>Chennai</city> <postal-code>600054</postal-code>, <country>India</country><institution content-type="dept">Department of Computer Science and Engineering</institution>, <institution>SNS College of Engineering</institution>, <city>Coimbatore</city> <postal-code>641107</postal-code>, <country>India</country><institution content-type="dept">Department of Computer Science and Engineering</institution>, <institution>Jagannath Educational Health and Charitable Trust College of Engineering and Technology</institution>, <city>Coimbatore</city> <postal-code>641105</postal-code>, <country>India</country><institution>B. S. Abdur Rahman Crescent Institute of Science and Technology</institution>, <city>Chennai</city> <postal-code>600048</postal-code>, <country>India</country><institution content-type="dept">Department of Computer Science</institution>, <institution>Government Bikram College of Commerce</institution>, <city>Patiala</city> <postal-code>147001</postal-code>, <country>India</country><institution content-type="dept">Department of Computer Science and Engineering</institution>, <institution>Sri Guru Granth Sahib World University</institution>, <city>Fatehgarh</city> <postal-code>140406</postal-code>, <country>India</country>In recent time, data analysis using machine learning accelerates optimized solutions on clinical healthcare systems. The machine learning methods greatly offer an efficient prediction ability in diagnosis system alternative with the clinicians. Most of the systems operate on the extracted features from the patients and most of the predicted cases are accurate. However, in recent time, the prevalence of COVID-19 has emerged the global healthcare industry to find a new drug that suppresses the pandemic outbreak. In this paper, we design a Deep Neural Network (DNN) model that accurately finds the protein-ligand interactions with the drug used. The DNN senses the response of protein-ligand interactions for a specific drug and identifies which drug makes the interaction that combats effectively the virus. With limited genome sequence of Indian patients submitted to the GISAID database, we find that the DNN system is effective in identifying the protein-ligand interactions for a specific drug.https://www.sciopen.com/article/10.26599/BDMA.2020.9020007deep neural network (dnn)coronavirusprotein-ligand interactionsdeep learningclinical healthcare system |
| spellingShingle | Natarajan Yuvaraj Kannan Srihari Selvaraj Chandragandhi Rajan Arshath Raja Gaurav Dhiman Amandeep Kaur Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks Big Data Mining and Analytics deep neural network (dnn) coronavirus protein-ligand interactions deep learning clinical healthcare system |
| title | Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks |
| title_full | Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks |
| title_fullStr | Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks |
| title_full_unstemmed | Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks |
| title_short | Analysis of Protein-Ligand Interactions of SARS-CoV-2 Against Selective Drug Using Deep Neural Networks |
| title_sort | analysis of protein ligand interactions of sars cov 2 against selective drug using deep neural networks |
| topic | deep neural network (dnn) coronavirus protein-ligand interactions deep learning clinical healthcare system |
| url | https://www.sciopen.com/article/10.26599/BDMA.2020.9020007 |
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