A first computational frame for recognizing heparin-binding protein
W Zhu, SS Yuan, J Li, CB Huang, H Lin, B Liao - Diagnostics, 2023 - mdpi.com
Heparin-binding protein (HBP) is a cationic antibacterial protein derived from multinuclear
neutrophils and an important biomarker of infectious diseases. The correct identification of …
neutrophils and an important biomarker of infectious diseases. The correct identification of …
Machine learning approaches in diagnosis, prognosis and treatment selection of cardiac amyloidosis
Cardiac amyloidosis is an uncommon restrictive cardiomyopathy featuring an unregulated
amyloid protein deposition that impairs organic function. Early cardiac amyloidosis …
amyloid protein deposition that impairs organic function. Early cardiac amyloidosis …
Bitter-RF: a random forest machine model for recognizing bitter peptides
YF Zhang, YH Wang, ZF Gu, XR Pan, J Li… - Frontiers in …, 2023 - frontiersin.org
Introduction Bitter peptides are short peptides with potential medical applications. The huge
potential behind its bitter taste remains to be tapped. To better explore the value of bitter …
potential behind its bitter taste remains to be tapped. To better explore the value of bitter …
A systematic review on the state-of-the-art strategies for protein representation
ZX Yue, TC Yan, HQ Xu, YH Liu, YF Hong… - Computers in Biology …, 2023 - Elsevier
The study of drug-target protein interaction is a key step in drug research. In recent years,
machine learning techniques have become attractive for research, including drug research …
machine learning techniques have become attractive for research, including drug research …
Prediction of amyloid proteins using embedded evolutionary & ensemble feature selection based descriptors with eXtreme gradient boosting model
Amyloid proteins (AMYs) are usually an aggregate of insoluble fibrous that have major
pathogenic effects on various tissues. However, its abnormal deposition may lead to several …
pathogenic effects on various tissues. However, its abnormal deposition may lead to several …
Identification of adaptor proteins using the ANOVA feature selection technique
The adaptor proteins play a crucially important role in regulating lymphocyte activation.
Rapid and efficient identification of adaptor proteins is essential for understanding their …
Rapid and efficient identification of adaptor proteins is essential for understanding their …
[HTML][HTML] IBPred: A sequence-based predictor for identifying ion binding protein in phage
SS Yuan, D Gao, XQ Xie, CY Ma, W Su… - Computational and …, 2022 - Elsevier
Ion binding proteins (IBPs) can selectively and non-covalently interact with ions. IBPs in
phages also play an important role in biological processes. Therefore, accurate identification …
phages also play an important role in biological processes. Therefore, accurate identification …
ENTAIL: yEt aNoTher amyloid fIbrils cLassifier
Background This research aims to increase our knowledge of amyloidoses. These disorders
cause incorrect protein folding, affecting protein functionality (on structure). Fibrillar deposits …
cause incorrect protein folding, affecting protein functionality (on structure). Fibrillar deposits …
[HTML][HTML] Multi-headed Ensemble Residual CNN: A Powerful Tool for Fibroblast Growth Factor Prediction
N Almusallam, F Ali, H Kumar, T Alkhalifah… - Results in …, 2024 - Elsevier
Abstract Fibroblast Growth Factor (FGF) performs a significant role in the repair, nervous
system, development, and maintenance, making it a promising target for treating …
system, development, and maintenance, making it a promising target for treating …
AAclust: k-optimized clustering for selecting redundancy-reduced sets of amino acid scales
S Breimann, D Frishman - Bioinformatics Advances, 2024 - academic.oup.com
Amino acid scales are crucial for sequence-based protein prediction tasks, yet no gold
standard scale set or simple scale selection methods exist. We developed AAclust, a …
standard scale set or simple scale selection methods exist. We developed AAclust, a …