AIMC Topic: DNA-Binding Proteins

Clear Filters Showing 51 to 60 of 101 articles

HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection.

Computational and mathematical methods in medicine Mar 28, 2020
Prediction of DNA-binding proteins (DBPs) has become a popular research topic in protein science due to its crucial role in all aspects of biological activities. Even though considerable efforts have been devoted to developing powerful computational ...
Humans Amino Acids DNA-Binding Proteins Amino Acid Sequence Markov Chains Computational Biology Support Vector Machine Databases, Protein Machine Learning Algorithms ROC Curve
View on PubMed DOI

Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.

BioMed research international Mar 26, 2020
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology.
DNA-Binding Proteins Genetic Markers Alzheimer Disease Transcription Factors DNA Methylation Carrier Proteins Microfilament Proteins Cyclin-Dependent Kinase Inhibitor p57 Protein Tyrosine Phosphatases Patients Peptide Hydrolases Mitochondrial Proteins Machine Learning Gene Expression Regulation, Neoplastic Humans
View on PubMed DOI

Deep learning approaches for sleep disorder prediction in an asthma cohort.

The Journal of asthma : official journal of the Association for the Care of Asthma Mar 18, 2020
OBJECTIVE: Sleep is a natural activity of humans that affects physical and mental health; therefore, sleep disturbance may lead to fatigue and lower productivity. This study examined 1 million samples included in the Taiwan National Health Insurance ...
Male Middle Aged Infant Deep Learning Young Adult Adult Nerve Tissue Proteins Asthma Adolescent Predictive Value of Tests DNA-Binding Proteins Artificial Intelligence Humans Child, Preschool Sleep Wake Disorders Child Female
View on PubMed DOI

iProDNA-CapsNet: identifying protein-DNA binding residues using capsule neural networks.

BMC bioinformatics Dec 27, 2019
BACKGROUND: Since protein-DNA interactions are highly essential to diverse biological events, accurately positioning the location of the DNA-binding residues is necessary. This biological issue, however, is currently a challenging task in the age of ...
Amino Acids DNA-Binding Proteins Amino Acid Sequence Position-Specific Scoring Matrices Reproducibility of Results ROC Curve DNA Neural Networks, Computer Humans Software Algorithms
View on PubMed DOI

An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences.

PloS one Nov 14, 2019
As the number of known proteins has expanded, how to accurately identify DNA binding proteins has become a significant biological challenge. At present, various computational methods have been proposed to recognize DNA-binding proteins from only amin...
Memory, Long-Term Deep Learning Neural Networks, Computer DNA-Binding Proteins Algorithms Amino Acid Sequence Reproducibility of Results
View on PubMed DOI

SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM.

Analytical biochemistry Nov 3, 2019
Identification of DNA-binding proteins (DNA-BPs) is a hot issue in protein science due to its key role in various biological processes. These processes are highly concerned with DNA-binding protein types. DNA-BPs are classified into single-stranded D...
Support Vector Machine Consensus Sequence Amino Acid Sequence Databases, Protein Computational Biology Datasets as Topic DNA-Binding Proteins
View on PubMed DOI

FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou's Five-Step Rule.

International journal of molecular sciences Aug 26, 2019
DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the detection methods of DNA-binding proteins includes yeast one-hybrid methods, bacterial singles and X-ray crystallography methods and others, but these met...
Machine Learning Computational Biology Reproducibility of Results DNA-Binding Proteins Sensitivity and Specificity Regression Analysis ROC Curve
View on PubMed DOI

Enabling full-length evolutionary profiles based deep convolutional neural network for predicting DNA-binding proteins from sequence.

Proteins Jul 8, 2019
Sequence based DNA-binding protein (DBP) prediction is a widely studied biological problem. Sliding windows on position specific substitution matrices (PSSMs) rows predict DNA-binding residues well on known DBPs but the same models cannot be applied ...
DNA-Binding Proteins Models, Biological Protein Conformation Arabidopsis Binding Sites Arabidopsis Proteins Mice DNA Amino Acids Humans Neural Networks, Computer Animals
View on PubMed DOI

Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network.

Scientific reports Jun 11, 2019
Modeling in-vivo protein-DNA binding is not only fundamental for further understanding of the regulatory mechanisms, but also a challenging task in computational biology. Deep-learning based methods have succeed in modeling in-vivo protein-DNA bindin...
Humans Protein Binding DNA Neural Networks, Computer DNA-Binding Proteins Algorithms Models, Biological Deep Learning
View on PubMed DOI

DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information.

Journal of computer-aided molecular design May 23, 2019
DNA-binding proteins (DBPs) participate in various biological processes including DNA replication, recombination, and repair. In the human genome, about 6-7% of these proteins are utilized for genes encoding. DBPs shape the DNA into a compact structu...
Binding Sites Position-Specific Scoring Matrices Humans Databases, Protein Machine Learning DNA Support Vector Machine Algorithms DNA-Binding Proteins Evolution, Molecular Animals
View on PubMed DOI
Popular Topics
Recent Journals