Machine learning and its applications in plant molecular studies
The advent of high-throughput genomic technologies has resulted in the accumulation of
massive amounts of genomic information. However, biologists are challenged with how to …
massive amounts of genomic information. However, biologists are challenged with how to …
MotifCNN-fold: protein fold recognition based on fold-specific features extracted by motif-based convolutional neural networks
CC Li, B Liu - Briefings in bioinformatics, 2020 - academic.oup.com
Protein fold recognition is one of the most critical tasks to explore the structures and
functions of the proteins based on their primary sequence information. The existing protein …
functions of the proteins based on their primary sequence information. The existing protein …
A convolutional neural network using dinucleotide one-hot encoder for identifying DNA N6-methyladenine sites in the rice genome
Abstract N6-methyladenine (m 6 A) is one of the crucial epigenetic modifications and is
related to the control of various DNA processes. Carrying out a genome-wide m 6 A analysis …
related to the control of various DNA processes. Carrying out a genome-wide m 6 A analysis …
Identifying antioxidant proteins by using amino acid composition and protein-protein interactions
Y Zhai, Y Chen, Z Teng, Y Zhao - Frontiers in Cell and Developmental …, 2020 - frontiersin.org
Excessive oxidative stress responses can threaten our health, and thus it is essential to
produce antioxidant proteins to regulate the body's oxidative responses. The low number of …
produce antioxidant proteins to regulate the body's oxidative responses. The low number of …
A KNN model based on manhattan distance to identify the SNARE proteins
X Gao, G Li - Ieee Access, 2020 - ieeexplore.ieee.org
SNARE proteins, known as membrane fusion proteins, play a primary role to mediate vesicle
fusion. Loss of function of the SNARE protein can lead to a variety of diseases. A method to …
fusion. Loss of function of the SNARE protein can lead to a variety of diseases. A method to …
Escherichia coli DNA N-4-methycytosine site prediction accuracy improved by light gradient boosting machine feature selection technology
Recently, several machine-learning-based DNA N-4-methycytosine (4mC) predictors have
been developed to provide deeper insight into the biological functions and mechanisms of …
been developed to provide deeper insight into the biological functions and mechanisms of …
Prediction of anticancer peptides using a low-dimensional feature model
Q Li, W Zhou, D Wang, S Wang, Q Li - Frontiers in Bioengineering …, 2020 - frontiersin.org
Cancer is still a severe health problem globally. The therapy of cancer traditionally involves
the use of radiotherapy or anticancer drugs to kill cancer cells, but these methods are quite …
the use of radiotherapy or anticancer drugs to kill cancer cells, but these methods are quite …
DeepDRBP-2L: a new genome annotation predictor for identifying DNA-binding proteins and RNA-binding proteins using convolutional neural network and long short …
DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) are two kinds of crucial
proteins, which are associated with various cellule activities and some important diseases …
proteins, which are associated with various cellule activities and some important diseases …
iGlu_AdaBoost: identification of lysine glutarylation using the AdaBoost classifier
L Dou, X Li, L Zhang, H **ang, L Xu - Journal of Proteome …, 2020 - ACS Publications
Lysine glutarylation is a newly reported post-translational modification (PTM) that plays
significant roles in regulating metabolic and mitochondrial processes. Accurate identification …
significant roles in regulating metabolic and mitochondrial processes. Accurate identification …
Computational prediction of species-specific yeast DNA replication origin via iterative feature representation
Deoxyribonucleic acid replication is one of the most crucial tasks taking place in the cell, and
it has to be precisely regulated. This process is initiated in the replication origins (ORIs), and …
it has to be precisely regulated. This process is initiated in the replication origins (ORIs), and …