Cargando…

COVID-DeepPredictor: Recurrent Neural Network to Predict SARS-CoV-2 and Other Pathogenic Viruses

The COVID-19 disease for Novel coronavirus (SARS-CoV-2) has turned out to be a global pandemic. The high transmission rate of this pathogenic virus demands an early prediction and proper identification for the subsequent treatment. However, polymorphic nature of this virus allows it to adapt and sus...

Descripción completa

Detalles Bibliográficos
Autores principales:	Saha, Indrajit, Ghosh, Nimisha, Maity, Debasree, Seal, Arjit, Plewczynski, Dariusz
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7906283/ https://www.ncbi.nlm.nih.gov/pubmed/33643375 http://dx.doi.org/10.3389/fgene.2021.569120

Ejemplares similares

Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses
por: Sarkar, Jnanendra Prasad, et al.
Publicado: (2022)

Editorial: SARS-CoV-2: From Genetic Variability to Vaccine Design
por: Saha, Indrajit, et al.
Publicado: (2022)

Unveiling the Biomarkers of Cancer and COVID-19 and Their Regulations in Different Organs by Integrating RNA-Seq Expression and Protein–Protein Interactions
por: Ghosh, Nimisha, et al.
Publicado: (2022)

Identification of Human miRNA Biomarkers Targeting the SARS-CoV-2 Genome
por: Saha, Indrajit, et al.
Publicado: (2022)

Identification of miRNA Biomarkers for Diverse Cancer Types Using Statistical Learning Methods at the Whole-Genome Scale
por: Sarkar, Jnanendra Prasad, et al.
Publicado: (2020)

Inferring the genetic variability in Indian SARS-CoV-2 genomes using consensus of multiple sequence alignment techniques
por: Saha, Indrajit, et al.
Publicado: (2020)

Genome-wide analysis of 10664 SARS-CoV-2 genomes to identify virus strains in 73 countries based on single nucleotide polymorphism
por: Ghosh, Nimisha, et al.
Publicado: (2021)

Corrigendum: Identification of Breast Cancer Subtype Specific MicroRNAs Using Survival Analysis to Find Their Role in Transcriptomic Regulation
por: Denkiewicz, Michał, et al.
Publicado: (2020)

Identification of Breast Cancer Subtype Specific MicroRNAs Using Survival Analysis to Find Their Role in Transcriptomic Regulation
por: Denkiewicz, Michał, et al.
Publicado: (2019)

Hotspot Mutations in SARS-CoV-2
por: Saha, Indrajit, et al.
Publicado: (2021)

Genome-wide analysis of Indian SARS-CoV-2 genomes for the identification of genetic mutation and SNP
por: Saha, Indrajit, et al.
Publicado: (2020)

Topological Analysis for Sequence Variability: Case Study on more than 2K SARS-CoV-2 sequences of COVID-19 infected 54 countries in comparison with SARS-CoV-1 and MERS-CoV
por: Sarkar, Jnanendra Prasad, et al.
Publicado: (2021)

AMS 4.0: consensus prediction of post-translational modifications in protein sequences
por: Plewczynski, Dariusz, et al.
Publicado: (2012)

Erratum to: Consensus classification of human leukocyte antigen class II proteins
por: Saha, Indrajit, et al.
Publicado: (2013)

Consensus classification of human leukocyte antigen class II proteins
por: Saha, Indrajit, et al.
Publicado: (2012)

PFP-GO: Integrating protein sequence, domain and protein-protein interaction information for protein function prediction using ranked GO terms
por: Sengupta, Kaustav, et al.
Publicado: (2022)

Fuzzy clustering of physicochemical and biochemical properties of amino Acids
por: Saha, Indrajit, et al.
Publicado: (2011)

Immunogenicity and antigenicity based T-cell and B-cell epitopes identification from conserved regions of 10664 SARS-CoV-2 genomes
por: Ghosh, Nimisha, et al.
Publicado: (2021)

Interactome of human and SARS-CoV-2 proteins to identify human hub proteins associated with comorbidities
por: Ghosh, Nimisha, et al.
Publicado: (2021)

A review on evolution of emerging SARS-CoV-2 variants based on spike glycoprotein
por: Ghosh, Nimisha, et al.
Publicado: (2022)

Phylogenetic analysis of 17271 Indian SARS-CoV-2 genomes to identify temporal and spatial hotspot mutations
por: Ghosh, Nimisha, et al.
Publicado: (2022)

Palindromic target site identification in SARS-CoV-2, MERS-CoV and SARS-CoV-1 by adopting CRISPR-Cas technique
por: Ghosh, Nimisha, et al.
Publicado: (2022)

An entropy-based study on mutational trajectory of SARS-CoV-2 in India
por: Santoni, Daniele, et al.
Publicado: (2022)

Interactome-Based Machine Learning Predicts Potential Therapeutics for COVID-19
por: Ghosh, Nimisha, et al.
Publicado: (2023)

DeepLRHE: A Deep Convolutional Neural Network Framework to Evaluate the Risk of Lung Cancer Recurrence and Metastasis From Histopathology Images
por: Wu, Zhijun, et al.
Publicado: (2020)

Genome-wide analysis of Indian SARS-CoV-2 genomes to identify T-cell and B-cell epitopes from conserved regions based on immunogenicity and antigenicity
por: Ghosh, Nimisha, et al.
Publicado: (2021)

Editorial: RNA-Seq Analysis: Methods, Applications and Challenges
por: Geraci, Filippo, et al.
Publicado: (2020)

Correcting for Population Stratification Reduces False Positive and False Negative Results in Joint Analyses of Host and Pathogen Genomes
por: Naret, Olivier, et al.
Publicado: (2018)

Characterisation of SARS-CoV-2 clades based on signature SNPs unveils continuous evolution
por: Ghosh, Nimisha, et al.
Publicado: (2022)

Bioinformatics pipeline unveils genetic variability to synthetic vaccine design for Indian SARS-CoV-2 genomes
por: Ghosh, Nimisha, et al.
Publicado: (2022)

Transcription Factor Driven Gene Regulation in COVID-19 Patients
por: Santoni, Daniele, et al.
Publicado: (2023)

Strategies for COVID-19 Epidemiological Surveillance in India: Overall Policies Till June 2021
por: Ghosh, Nimisha, et al.
Publicado: (2021)

Human miRNAs to Identify Potential Regions of SARS-CoV-2
por: Ghosh, Nimisha, et al.
Publicado: (2022)

DeePromoter: Robust Promoter Predictor Using Deep Learning
por: Oubounyt, Mhaned, et al.
Publicado: (2019)

Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks
por: Hu, Qiwan, et al.
Publicado: (2018)

Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
por: Das, Himanish Shekhar, et al.
Publicado: (2023)

deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks
por: Luo, Ping, et al.
Publicado: (2019)

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

Deep learning methods may not outperform other machine learning methods on analyzing genomic studies
por: Dong, Yao, et al.
Publicado: (2022)

Cis-encoded non-coding antisense RNAs in streptococci and other low GC Gram (+) bacterial pathogens
por: Cho, Kyu Hong, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_b8scqej3mqpmbmgg99bui28qhp