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Journal : Bulletin of Electrical Engineering and Informatics

Performance evaluation of feature extraction to improve the classification of PTM in C-glycosylation using XGBoost Damayanti, Damayanti; Rosyking Lumbanraja, Favorisen; Junaidi, Akmal; Sutyarso, Sutyarso; Nugroho Susanto, Gregorius; Hendrastuty, Nirwana
Bulletin of Electrical Engineering and Informatics Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i2.8466

Abstract

Protein function is regulated by an important mechanism known as post-translational modification (PTM). Covalent and enzymatic protein modifications are added during protein biosynthesis, and such alterations significantly influence the regulation of gene activity and the functionality of proteins. Glycosylation, one type of PTM, involves adding sugar groups to a protein's structure. Numerous illnesses, such as diabetes, cancer, and the flu, have been linked to glycosylation. Therefore, it is critical to predict the presence of glycosylation, whether it occurs or not. Currently, predicting glycosylation sites is still done manually using biological methods, which require repeated experiments and a significant amount of time. To address these challenges, it is essential to rapidly develop computational data models using machine learning methods. In this study, the extreme gradient boosting (XGBoost) method is implemented, and C-glycosylation data is obtained from the publicly accessible UniProt website. The objective is to enhance the accuracy of C-glycosylation prediction using the XGBoost method. Feature extraction is performed using amino acid index (AAindex), composition, transition, and distribution (CTD), solvent AccessiBiLitiEs (SABLE), hydrophobicity, and pseudo amino acid composition (PseAAC) to improve accuracy. The minimum redundancy maximum relevance (MRMR) method is applied for feature selection. The findings of the study demonstrate that the PTM C-glycosylation prediction achieved 100%.
Co-Authors - Damayanti . Wamiliana Admi Syarif Ahmad Ari Aldino Ahmad Faisol Akbar, Mohammed Raihan Albertus Sudirman Alfikri, Fadli Andrian, Rico Ani Kurniawati Arif Munandar Arif Pebriansyah Asmiati Asmiati Astria Hijriani Astria Hijriani Astria Hijriani, Astria Ayu Amalia Ayu Nadila Bambang Hermanto Damayanti Damayanti Dwi Sakethi Dwi Sakethi Dwi Sakethi Fajriyanto Fajriyanto Fazri, Yudistira Febi Eka Febriansyah Fitriani Gamal, Mohammad Danil Hendry Hamim Sudarsono . Heningtyas, Yunda Herindri Samodera Utami, Bernadhita Hidayat Pujisiswanto Ida Nurhaida1 Ida Nurhaida Ida Nurhaida Indah Mayatika Sihaloho Innaya, Thalia Gemi Irawati, Anie Rose Irwan Adi Pribadi Irwan Adi Pribadi Iva Mutiara Indah Kartika Sari Kenny Claudie Fandau Kurnia Muludi Leila Fauziah Lucia Ratnasari Lumbanraja, Favorisen R Machudor Yusman Machudor Yusman Maharani, Devi Manurung, Yunita Rosalina Megawaty, Dyah Ayu Meizano Ardhi Muhammad Muhammad Iqbal Muhammad Jamaludin Muhammad, Meizano Ardhi Mustofa Usman Naurah Nazhifah Nikken Prima Puspita Nirwana Hendrastuty Nova Ayu Lestari Siahaan Novita Dwilestari Nugroho Susanto, Gregorius Nurdin, Muhaymi Ossy Dwi Endah Wulansari Ossy Dwi Endah Wulansari, Ossy Dwi Endah Pairul Syah Pairulsyah Pairulsyah Prabowo, Rizky Pranata, Beni Adi Rahmat Safe'i Rahmi Permata Hati Rangga Agustiantino Rangga Firdaus Rendi Adam Rendi Eko Prasatiawan Reni Permata Sari Reza Aji Saputra Rizky Ramadhany Rosdiana, Siti Rusdi Evizal S Susiyani SAIFUL ANWAR Saipul Anwar Saipul Anwar Samsul Bakri Shofiana, Dewi Asiah Sholehurrohman, Ridho Siti Khabibah Siti Rosdiana Slamet Budi Yuwono Sugaluh Yulianti Sugeng P Hariyanto Sugeng P Hariyanto Sugeng Prayitno Hariyanto Susanto, Gregorius Nugroho Sutyarso Sutyarso Sutyarso, - Syachrul Priyo Wibowo Syifa Trianingsih Taqwan Thamrin Tio Arisandi Titik Nur Aeny Trianingsih, Syifa Tsani, Machya Kartika Wamiliana Warsono Warsono Wartariyus Wartariyus Wiwin Susanty Wulan Kurnia Safitri Yoannisa Egeustin YOHANA TRI UTAMI, YOHANA TRI Yusikania Dwi Putri Zaenal Abidin Zaini, TM