Deep learning and ensemble deep learning for circRNA-RBP interaction prediction in the last decade: A review
D Lasantha, S Vidanagamachchi… - … Applications of Artificial …, 2023 - Elsevier
Circular ribonucleic acids (circRNAs) are widely expressed in cells and tissues and play vital
roles in cellular physiological processes. Their expressions are associated with …
roles in cellular physiological processes. Their expressions are associated with …
Machine learning techniques for protein function prediction
R Bonetta, G Valentino - Proteins: Structure, Function, and …, 2020 - Wiley Online Library
Proteins play important roles in living organisms, and their function is directly linked with
their structure. Due to the growing gap between the number of proteins being discovered …
their structure. Due to the growing gap between the number of proteins being discovered …
Identifying SNARE proteins using an alignment-free method based on multiscan convolutional neural network and PSSM profiles
Background: SNARE proteins play a vital role in membrane fusion and cellular physiology
and pathological processes. Many potential therapeutics for mental diseases or even cancer …
and pathological processes. Many potential therapeutics for mental diseases or even cancer …
Drug–target affinity prediction using graph neural network and contact maps
Computer-aided drug design uses high-performance computers to simulate the tasks in drug
design, which is a promising research area. Drug–target affinity (DTA) prediction is the most …
design, which is a promising research area. Drug–target affinity (DTA) prediction is the most …
MK-FSVM-SVDD: a multiple kernel-based fuzzy SVM model for predicting DNA-binding proteins via support vector data description
Y Zou, H Wu, X Guo, L Peng, Y Ding… - Current …, 2021 - ingentaconnect.com
Background: Detecting DNA-binding proteins (DBPs) based on biological and chemical
methods is time-consuming and expensive. Objective: In recent years, the rise of …
methods is time-consuming and expensive. Objective: In recent years, the rise of …
Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC
Y Shen, J Tang, F Guo - Journal of Theoretical Biology, 2019 - Elsevier
Identifying the location of proteins in a cell plays an important role in understanding their
functions, such as drug design, therapeutic target discovery and biological research …
functions, such as drug design, therapeutic target discovery and biological research …
Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt independence criterion
Membrane proteins perform a variety of functions vital to the survival of organisms, such as
oxidoreductase, transferase or hydrolase. If the type of membrane protein can be detected …
oxidoreductase, transferase or hydrolase. If the type of membrane protein can be detected …
Predicting protein-protein interactions from matrix-based protein sequence using convolution neural network and feature-selective rotation forest
L Wang, HF Wang, SR Liu, X Yan, KJ Song - Scientific reports, 2019 - nature.com
Protein is an essential component of the living organism. The prediction of protein-protein
interactions (PPIs) has important implications for understanding the behavioral processes of …
interactions (PPIs) has important implications for understanding the behavioral processes of …
StackDPPred: a stacking based prediction of DNA-binding protein from sequence
Motivation Identification of DNA-binding proteins from only sequence information is one of
the most challenging problems in the field of genome annotation. DNA-binding proteins play …
the most challenging problems in the field of genome annotation. DNA-binding proteins play …
Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network
Protein–protein interactions (PPIs) play an important role in most of the biological processes.
How to correctly and efficiently detect protein interaction is a problem that is worth studying …
How to correctly and efficiently detect protein interaction is a problem that is worth studying …