QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods
Diabetes mellitus is a chronic disease that can occurred to anyone. Up until now, there are no specific drugs that have been found which can completely cure diabetes. One of the possible steps to treat diabetes mellitus is by inhibiting the growth of Diacylglycerol Acyltransferase-1 (DGAT-1) enzyme....
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2022-10-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Subjects: | |
| Online Access: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/4294 |
| _version_ | 1797334228240695296 |
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| author | I Kadek Andrean Pramana Putra Pramana Reza Rendian Septiawan Isman Kurniawan |
| author_facet | I Kadek Andrean Pramana Putra Pramana Reza Rendian Septiawan Isman Kurniawan |
| author_sort | I Kadek Andrean Pramana Putra Pramana |
| collection | DOAJ |
| description | Diabetes mellitus is a chronic disease that can occurred to anyone. Up until now, there are no specific drugs that have been found which can completely cure diabetes. One of the possible steps to treat diabetes mellitus is by inhibiting the growth of Diacylglycerol Acyltransferase-1 (DGAT-1) enzyme. This study aims to build a QSAR model on DGAT-1 inhibitors as anti-diabetic using Particle Swarm Optimization (PSO) and Support Vector Machine (SVM). Acyl-CoA: DGAT1 is a mikrosomal enzyme in lipogenesis which is increased in metabolically active cells to meet nutrient requirements. Microsomal-enzymes-that have an-important in the triglyceride-synthesis process-of 1,2-diacylglycerol by-catalyzing-acyl-coa-dependent-acylations as anti-diabetics. The dataset used in this study consists of 228 samples containing molecular structures and their inhibitor activities. We reduce the number of features by removing features with a standard deviation less than the threshold value, followed by the PSO algorithm. The best-predicted result is obtained through the implementation of SVM with RBF kernel, with the score of and are 0.75 and 0.67, respectively. |
| first_indexed | 2024-03-08T08:17:46Z |
| format | Article |
| id | doaj.art-c7d74b0c527a40aebe5225d12ca95124 |
| institution | Directory Open Access Journal |
| issn | 2580-0760 |
| language | English |
| last_indexed | 2024-03-08T08:17:46Z |
| publishDate | 2022-10-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj.art-c7d74b0c527a40aebe5225d12ca951242024-02-02T07:10:19ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602022-10-016573574110.29207/resti.v6i5.42944294QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM MethodsI Kadek Andrean Pramana Putra Pramana0Reza Rendian SeptiawanIsman KurniawanTelkom UniversityDiabetes mellitus is a chronic disease that can occurred to anyone. Up until now, there are no specific drugs that have been found which can completely cure diabetes. One of the possible steps to treat diabetes mellitus is by inhibiting the growth of Diacylglycerol Acyltransferase-1 (DGAT-1) enzyme. This study aims to build a QSAR model on DGAT-1 inhibitors as anti-diabetic using Particle Swarm Optimization (PSO) and Support Vector Machine (SVM). Acyl-CoA: DGAT1 is a mikrosomal enzyme in lipogenesis which is increased in metabolically active cells to meet nutrient requirements. Microsomal-enzymes-that have an-important in the triglyceride-synthesis process-of 1,2-diacylglycerol by-catalyzing-acyl-coa-dependent-acylations as anti-diabetics. The dataset used in this study consists of 228 samples containing molecular structures and their inhibitor activities. We reduce the number of features by removing features with a standard deviation less than the threshold value, followed by the PSO algorithm. The best-predicted result is obtained through the implementation of SVM with RBF kernel, with the score of and are 0.75 and 0.67, respectively.http://jurnal.iaii.or.id/index.php/RESTI/article/view/4294diabetesdiacylglycerol acyltransferase-1particle swarm optimizationqsarsupport vector machine |
| spellingShingle | I Kadek Andrean Pramana Putra Pramana Reza Rendian Septiawan Isman Kurniawan QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) diabetes diacylglycerol acyltransferase-1 particle swarm optimization qsar support vector machine |
| title | QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods |
| title_full | QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods |
| title_fullStr | QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods |
| title_full_unstemmed | QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods |
| title_short | QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods |
| title_sort | qsar study on diacylgycerol acyltransferase 1 dgat 1 inhibitor as anti diabetic using pso svm methods |
| topic | diabetes diacylglycerol acyltransferase-1 particle swarm optimization qsar support vector machine |
| url | http://jurnal.iaii.or.id/index.php/RESTI/article/view/4294 |
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