Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique
4mC is a type of DNA alteration that has the ability to synchronize multiple biological
movements, for example, DNA replication, gene expressions, and transcriptional …
movements, for example, DNA replication, gene expressions, and transcriptional …
MoRF-FUNCpred: molecular recognition feature function prediction based on multi-label learning and ensemble learning
H Li, Y Pang, B Liu, L Yu - Frontiers in Pharmacology, 2022 - frontiersin.org
Intrinsically disordered regions (IDRs) without stable structure are important for protein
structures and functions. Some IDRs can be combined with molecular fragments to make …
structures and functions. Some IDRs can be combined with molecular fragments to make …
iDRNA-ITF: identifying DNA-and RNA-binding residues in proteins based on induction and transfer framework
Protein-DNA and protein-RNA interactions are involved in many biological activities. In the
post-genome era, accurate identification of DNA-and RNA-binding residues in protein …
post-genome era, accurate identification of DNA-and RNA-binding residues in protein …
AGF-PPIS: a protein–protein interaction site predictor based on an attention mechanism and graph convolutional networks
X Fu, Y Yuan, H Qiu, H Suo, Y Song, A Li, Y Zhang… - Methods, 2024 - Elsevier
Protein–protein interactions play an important role in various biological processes.
Interaction among proteins has a wide range of applications. Therefore, the correct …
Interaction among proteins has a wide range of applications. Therefore, the correct …
[HTML][HTML] Identification of adaptor proteins by incorporating deep learning and PSSM profiles
W Gao, D Xu, H Li, J Du, G Wang, D Li - Methods, 2023 - Elsevier
Adaptor proteins, also known as signal transduction adaptor proteins, are important proteins
in signal transduction pathways, and play a role in connecting signal proteins for signal …
in signal transduction pathways, and play a role in connecting signal proteins for signal …
ATP_mCNN: Predicting ATP binding sites through pretrained language models and multi-window neural networks
Adenosine triphosphate plays a vital role in providing energy and enabling key cellular
processes through interactions with binding proteins. The increasing amount of protein …
processes through interactions with binding proteins. The increasing amount of protein …
HKAM-MKM: a hybrid kernel alignment maximization-based multiple kernel model for identifying DNA-binding proteins
S Zhao, Y Ding, X Liu, X Su - Computers in Biology and Medicine, 2022 - Elsevier
The identification of DNA-binding proteins (DBPs) has always been a hot issue in the field of
sequence classification. However, considering that the experimental identification method is …
sequence classification. However, considering that the experimental identification method is …
ISTRF: Identification of sucrose transporter using random forest
D Chen, S Li, Y Chen - Frontiers in Genetics, 2022 - frontiersin.org
Sucrose transporter (SUT) is a type of transmembrane protein that exists widely in plants
and plays a significant role in the transportation of sucrose and the specific signal sensing …
and plays a significant role in the transportation of sucrose and the specific signal sensing …