Deep learning methods for protein function prediction

F Boadu, A Lee, J Cheng - Proteomics, 2024 - Wiley Online Library
Predicting protein function from protein sequence, structure, interaction, and other relevant
information is important for generating hypotheses for biological experiments and studying …

Elliptic geometry-based kernel matrix for improved biological sequence classification

S Ali, M Shabbir, H Mansoor, P Chourasia… - Knowledge-Based …, 2024 - Elsevier
Protein sequence classification plays a pivotal role in bioinformatics as it enables the
comprehension of protein functions and their involvement in diverse biological processes …

Assessment of GO-based protein interaction affinities in the large-scale human–coronavirus family interactome

SS Bandyopadhyay, AK Halder, S Saha, P Chatterjee… - Vaccines, 2023 - mdpi.com
SARS-CoV-2 is a novel coronavirus that replicates itself via interacting with the host
proteins. As a result, identifying virus and host protein-protein interactions could help …

Deep Learning in Proteomics Informatics: Applications, Challenges, and Future Directions

Y Luo, J Cai - arXiv preprint arXiv:2412.17349, 2024 - arxiv.org
Deep learning is an advanced technology that relies on large-scale data and complex
models for feature extraction and pattern recognition. It has been widely applied across …

EPI-SF: essential protein identification in protein interaction networks using sequence features

S Saha, P Chatterjee, S Basu, M Nasipuri - PeerJ, 2024 - peerj.com
Proteins are considered indispensable for facilitating an organism's viability, reproductive
capabilities, and other fundamental physiological functions. Conventional biological assays …

基于多视图矩阵补全的蛋白受体功能预测

黄玮翔, 丁季, 刘夏栩, 殷勤, 兰闯闯… - 南京大学学报(自然科学 …, 2024 - jns.nju.edu.cn
摘要蛋白受体是细胞信号转导的重要组成部分, 也是人类最重要的药物靶点, 其中G
蛋白偶联受体(G Protein Coupled Receptors, GPCRs) 占绝大部分, 目前市场上大约34 …