4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction
W He, C Jia, Q Zou - Bioinformatics, 2019 - academic.oup.com
Abstract Motivation N4-methylcytosine (4mC), an important epigenetic modification formed
by the action of specific methyltransferases, plays an essential role in DNA repair …
by the action of specific methyltransferases, plays an essential role in DNA repair …
70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features
W He, C Jia, Y Duan, Q Zou - BMC systems biology, 2018 - Springer
Background Promoter is an important sequence regulation element, which is in charge of
gene transcription initiation. In prokaryotes, σ 70 promoters regulate the transcription of most …
gene transcription initiation. In prokaryotes, σ 70 promoters regulate the transcription of most …
EnhancerPred2. 0: Predicting enhancers and their strength based on position-specific trinucleotide propensity and electron–ion interaction potential feature selection
W He, C Jia - Molecular Biosystems, 2017 - pubs.rsc.org
Enhancers are cis-acting elements that play major roles in upregulating eukaryotic gene
expression by providing binding sites for transcription factors and their complexes. Because …
expression by providing binding sites for transcription factors and their complexes. Because …
Identifying GPCRs and their types with Chou's pseudo amino acid composition: An approach from multi-scale energy representation and position specific scoring …
A Khan - Protein and peptide letters, 2012 - ingentaconnect.com
G-protein coupled receptor (GPCR) is a membrane protein family, which serves as an
interface between cell and the outside world. They are involved in various physiological …
interface between cell and the outside world. They are involved in various physiological …
Mem-PHybrid: Hybrid features-based prediction system for classifying membrane protein types
Membrane proteins are a major class of proteins and encoded by approximately 20% to
30% of genes in most organisms. In this work, a two-layer novel membrane protein …
30% of genes in most organisms. In this work, a two-layer novel membrane protein …
MachineTFBS: Motif-based method to predict transcription factor binding sites with first-best models from machine learning library
This study aims to model the high-affinity transcription factor (TF) binding sites (TFBSs) in
Saccharomyces cerevisiae promoters using high-throughput experimental TF binding data …
Saccharomyces cerevisiae promoters using high-throughput experimental TF binding data …
Protein subcellular localization of fluorescence microscopy images: employing new statistical and Texton based image features and SVM based ensemble …
Image based subcellular localization of proteins is a challenging pattern recognition task
and is of prime importance in understanding different functions of proteins. Extracting …
and is of prime importance in understanding different functions of proteins. Extracting …
An ensemble classifier based prediction of G-protein-coupled receptor classes in low homology
Q Gu, YS Ding, TL Zhang - Neurocomputing, 2015 - Elsevier
G-protein-coupled receptors (GPCRs) play an important role in physiological processes
which are the targets of more than 50% of marketed drugs. In this research, we use a hybrid …
which are the targets of more than 50% of marketed drugs. In this research, we use a hybrid …
Classifying G-protein-coupled receptors to the finest subtype level
QB Gao, XF Ye, J He - Biochemical and biophysical research …, 2013 - Elsevier
G-protein-coupled receptors (GPCRs) constitute a remarkable protein family of receptors
that are involved in a broad range of biological processes. A large number of clinically used …
that are involved in a broad range of biological processes. A large number of clinically used …
Predicting G-Protein-Coupled Receptors families using different physiochemical properties and pseudo amino acid composition
G-protein-coupled receptors (GPCRs) initiate signaling pathways via trimetric guanine
nucleotide-binding proteins. GPCRs are classified based on their ligand-binding properties …
nucleotide-binding proteins. GPCRs are classified based on their ligand-binding properties …