Cargando…

i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes

N4-methylcytosine (4mC) is one of the most important DNA modifications and involved in regulating cell differentiations and gene expressions. The accurate identification of 4mC sites is necessary to understand various biological functions. In this work, we developed a new computational predictor cal...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hasan, Md. Mehedi, Manavalan, Balachandran, Shoombuatong, Watshara, Khatun, Mst. Shamima, Kurata, Hiroyuki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Research Network of Computational and Structural Biotechnology 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168350/ https://www.ncbi.nlm.nih.gov/pubmed/32322372 http://dx.doi.org/10.1016/j.csbj.2020.04.001

Ejemplares similares

Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction
por: Khatun, Mst. Shamima, et al.
Publicado: (2020)

Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites
por: Hasan, Md. Mehedi, et al.
Publicado: (2019)

Empirical Comparison and Analysis of Web-Based DNA N(4)-Methylcytosine Site Prediction Tools
por: Manavalan, Balachandran, et al.
Publicado: (2020)

Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information
por: Hasan, Md. Mehedi, et al.
Publicado: (2019)

PreAIP: Computational Prediction of Anti-inflammatory Peptides by Integrating Multiple Complementary Features
por: Khatun, Mst. Shamima, et al.
Publicado: (2019)

iLBE for Computational Identification of Linear B-cell Epitopes by Integrating Sequence and Evolutionary Features
por: Hasan, Md. Mehedi, et al.
Publicado: (2020)

UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning
por: Charoenkwan, Phasit, et al.
Publicado: (2021)

4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N(4)-Methylcytosine Sites in the Mouse Genome
por: Manavalan, Balachandran, et al.
Publicado: (2019)

Prediction of serine phosphorylation sites mapping on Schizosaccharomyces Pombe by fusing three encoding schemes with the random forest classifier
por: Tasmia, Samme Amena, et al.
Publicado: (2022)

PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations
por: Auliah, Firda Nurul, et al.
Publicado: (2021)

DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning
por: Wahab, Abdul, et al.
Publicado: (2020)

PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features
por: Nilamyani, Andi Nur, et al.
Publicado: (2021)

i4mC-EL: Identifying DNA N4-Methylcytosine Sites in the Mouse Genome Using Ensemble Learning
por: Li, Yanjuan, et al.
Publicado: (2021)

NTyroSite: Computational Identification of Protein Nitrotyrosine Sites Using Sequence Evolutionary Features
por: Hasan, Md. Mehedi, et al.
Publicado: (2018)

A systematic identification of species-specific protein succinylation sites using joint element features information
por: Hasan, Md Mehedi, et al.
Publicado: (2017)

Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
por: Charoenkwan, Phasit, et al.
Publicado: (2022)

i4mC-GRU: Identifying DNA N(4)-Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features
por: Nguyen-Vo, Thanh-Hoang, et al.
Publicado: (2023)

SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
por: Charoenkwan, Phasit, et al.
Publicado: (2022)

Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation
por: Manavalan, Balachandran, et al.
Publicado: (2019)

iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features
por: Charoenkwan, Phasit, et al.
Publicado: (2021)

Improved prediction and characterization of anticancer activities of peptides using a novel flexible scoring card method
por: Charoenkwan, Phasit, et al.
Publicado: (2021)

Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins
por: Charoenkwan, Phasit, et al.
Publicado: (2022)

DCNN-4mC: Densely connected neural network based N4-methylcytosine site prediction in multiple species
por: Rehman, Mobeen Ur, et al.
Publicado: (2021)

Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction
por: Liang, Ying, et al.
Publicado: (2022)

i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical Properties
por: Alam, Waleed, et al.
Publicado: (2021)

Base-resolution detection of N(4)-methylcytosine in genomic DNA using 4mC-Tet-assisted-bisulfite- sequencing
por: Yu, Miao, et al.
Publicado: (2015)

GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence features
por: Hasan, Md. Mehedi, et al.
Publicado: (2018)

SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
por: Ahmad, Saeed, et al.
Publicado: (2022)

4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network
por: Abbas, Zeeshan, et al.
Publicado: (2021)

5-Methylcytosine and 5-Hydroxymethylcytosine Spatiotemporal Profiles in the Mouse Zygote
por: Salvaing, Juliette, et al.
Publicado: (2012)

CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction
por: Tsukiyama, Sho, et al.
Publicado: (2022)

TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization
por: Jeon, Young-Jun, et al.
Publicado: (2022)

Recent Development of Machine Learning Methods in Microbial Phosphorylation Sites
por: Rashid, Md. Mamunur, et al.
Publicado: (2020)

5′-methylcytosine and 5′-hydroxymethylcytosine Each Provide Epigenetic Information to the Mouse Zygote
por: Li, Yan, et al.
Publicado: (2013)

Immunohistochemical Detection of 5-Methylcytosine and 5-Hydroxymethylcytosine in Developing and Postmitotic Mouse Retina
por: Singh, Ratnesh K., et al.
Publicado: (2018)

5-Methylcytosine and 5-Hydroxymethylcytosine in Scrapie-Infected Sheep and Mouse Brain Tissues
por: Hernaiz, Adelaida, et al.
Publicado: (2023)

A Deep Neural Network for Identifying DNA N4-Methylcytosine Sites
por: Zeng, Feng, et al.
Publicado: (2020)

Navigating the chemical space of dipeptidyl peptidase-4 inhibitors
por: Shoombuatong, Watshara, et al.
Publicado: (2015)

Epitranscriptomic 5-Methylcytosine Profile in PM(2.5)-induced Mouse Pulmonary Fibrosis
por: Han, Xiao, et al.
Publicado: (2020)

Towards understanding aromatase inhibitory activity via QSAR modeling
por: Shoombuatong, Watshara, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_vt9v7teigiish9p74jaufgtl54