QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods

I KADEK ANDREAN PRAMANA PUTRA

Informasi Dasar

46 kali
22.04.3448
518.172
Karya Ilmiah - Skripsi (S1) - Reference

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 R2train and R2test  are 0.75 and 0.67, respectively

Subjek

BIOINFORMATICS
Biomedical Engineering,

Katalog

QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods
 
 
Indonesia

Sirkulasi

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Pengarang

I KADEK ANDREAN PRAMANA PUTRA
Perorangan
Isman Kurniawan, Reza Rendian Septiawan
 

Penerbit

Universitas Telkom, S1 Informatika
Bandung
2022

Koleksi

Kompetensi

  • CII3C3 - PEMBELAJARAN MESIN
  • CII4E4 - TUGAS AKHIR

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