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Recent advances in deep learning for protein-protein interaction analysis: A comprehensive review
M Lee - Molecules, 2023 - mdpi.com
Deep learning, a potent branch of artificial intelligence, is steadily leaving its transformative
imprint across multiple disciplines. Within computational biology, it is expediting progress in …
imprint across multiple disciplines. Within computational biology, it is expediting progress in …
An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions
The field of proteomics encompasses a comprehensive examination of proteins,
encompassing their structural properties, interactions with other biomolecules, subcellular …
encompassing their structural properties, interactions with other biomolecules, subcellular …
Molecular sequence classification using efficient kernel based embedding
The alarming spread of diseases across the globe has become a major concern for global
healthcare agencies. The research community is actively involved in inventing better and …
healthcare agencies. The research community is actively involved in inventing better and …
Unraveling the role of physicochemical differences in predicting protein–protein interactions
H Teimouri, A Medvedeva… - The Journal of Chemical …, 2024 - pubs.aip.org
The ability to accurately predict protein–protein interactions is critically important for
understanding major cellular processes. However, current experimental and computational …
understanding major cellular processes. However, current experimental and computational …
Overview of methods for characterization and visualization of a protein–protein interaction network in a multi-omics integration context
V Robin, A Bodein, MP Scott-Boyer… - Frontiers in Molecular …, 2022 - frontiersin.org
At the heart of the cellular machinery through the regulation of cellular functions, protein–
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …
[HTML][HTML] Protein–protein interaction prediction for targeted protein degradation
Protein–protein interactions (PPIs) play a fundamental role in various biological functions;
thus, detecting PPI sites is essential for understanding diseases and develo** new drugs …
thus, detecting PPI sites is essential for understanding diseases and develo** new drugs …
Studying protein–protein interactions: Latest and most popular approaches
S Akbarzadeh, Ö Coşkun, B Günçer - Journal of Structural Biology, 2024 - Elsevier
PPIs, or protein–protein interactions, are essential for many biological processes. According
to the findings, abnormal PPIs have been linked to several diseases, such as cancer and …
to the findings, abnormal PPIs have been linked to several diseases, such as cancer and …
Malivhu: A Comprehensive Bioinformatics Resource for Filtering SARS and MERS Virus Proteins by Their Classification, Family and Species, and Prediction of Their …
D Guevara-Barrientos… - Bioinformatics and Biology …, 2024 - journals.sagepub.com
COVID 19 pandemic is still ongoing, having taken more than 6 million human lives with it,
and it seems that the world will have to learn how to live with the virus around. In …
and it seems that the world will have to learn how to live with the virus around. In …
The power and limits of predicting exon-exon interactions using protein 3D structures
Alternative splicing (AS) effects on cellular functions can be captured by studying changes in
the underlying protein-protein interactions (PPIs). Because AS results in the gain or loss of …
the underlying protein-protein interactions (PPIs). Because AS results in the gain or loss of …
Class-Balanced Protein Interaction Site Prediction Using Global and Local Features with XGBoost and Deep Learning
Inter-protein interactions are critical in biological pathways. Determining the protein–protein
interaction (PPI) sites is vital for comprehending protein behavior and designing …
interaction (PPI) sites is vital for comprehending protein behavior and designing …