Pendekatan biologi komputasi telah maju secara eksponensial dalam prediksi struktur sekunder protein yang sangat penting untuk industri farmasi. Ekstraksi fitur protein di dalam laboratorium memiliki informasi yang cukup untuk prediksi struktur sekunder protein yang digunakan dalam studi bioinformatika. Memprediksi struktur sekunder protein merupakan suatu permasalahan yang terdapat dalam bidang Bioinformatika. Terdapat beberapa metode yang telah diterapkan dengan tingkat akurasi yang dihasilkan berbeda-beda. Penelitian ini bertujuan untuk membandingkan model prediksi Support Vector Machine dengan K-Nearest Neighbor dalam memprediksi struktur sekunder protein.Dalam penelitian ini, model Support Vector Machine dan K-Nearest Neighbor disajikan dalam dataset RS126 yang terdiri dari 126 data protein dengan panjang urutan protein rata-rata 185 sekuens. Data RS126 juga terdiri atas 32% alpha helix (H), 21% beta (E), dan 47% coil (C). Masing-masing model prediksi pada penelitian ini diberikan nilai lebar sliding window sebesar 15. Nilai K = 5, K=10, dan K= 15 untuk model prediksi KNN serta Nilai C = 1, Gamma = 0,1 dan Kernel Radial Basis Function untuk model prediksi SVM. Penggunaan model Support Vector Machine dan K-Nearest Neighbor digunakan untuk memperoleh hasil yang relavan serta akurat dalam prediksi struktur sekunder. Beberapa prinsip yang diusulkan memiliki klarifikasi biologis yang menarik dan relevan. Hasil yang diperoleh menegaskan bahwa keberadaan asam amino tertentu dalam urutan protein meningkatkan stabilitas untuk prakiraan stuktur sekunder protein. Dalam penelitian ini algoritma KNN memiliki performa yang lebih baik dalam memprediksi struktur sekunder protein dibandingkan dengan algoritm SVM.
OpenAccesUlos is a type of traditional woven fabric that is often used for traditional ceremonies in the Batak tribe. Although ulos with natural dyes are more valuable, ulos weavers have switched to synthetic dyes due to the difficulty of the dyeing process with natural dyes. This research aims to make natural dyes from extracts of plants. Salaon plants (Indigofera tinctoria L), ketapang (Terminalia catappa), and cocoa (Theobroma cacao L) are types of plants that are easily available in the North Sumatra region and can be used as natural dyes. BATAK-Co (BATAK-Colour): ulos batak natural dye paste is a dyeing product in the form of a paste that can be used to dye yarn to be woven into ulos. The product is made through an extraction and fixation process with whiting, tunjung, and alum, as well as deposition and filtering processes, so that a BATAK-Co product is obtained: Ulos Batak Natural Coloring Paste with 3 color choices, namely blue from salaon leaf extract, black from ketapang leaf extract, and red from cocoa fruit peel extract. The spectra of the three dyestuffs have been identified using FT-IR. Through the entrepreneurship student creativity program, BATAK-Co: ulos batak natural dye paste products have been produced, packaged, and marketed both directly to ulos weavers and through social media, and have a great opportunity to become new entrepreneurs.
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