Cargando…

A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials

The year 2020 witnessed a heavy death toll due to COVID-19, calling for a global emergency. The continuous ongoing research and clinical trials paved the way for vaccines. But, the vaccine efficacy in the long run is still questionable due to the mutating coronavirus, which makes drug re-positioning...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mongia, Aanchal, Saha, Sanjay Kr., Chouzenoux, Emilie, Majumdar, Angshul
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079380/ https://www.ncbi.nlm.nih.gov/pubmed/33907209 http://dx.doi.org/10.1038/s41598-021-88153-3

Ejemplares similares

Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization
por: Mongia, Aanchal, et al.
Publicado: (2020)

McImpute: Matrix Completion Based Imputation for Single Cell RNA-seq Data
por: Mongia, Aanchal, et al.
Publicado: (2019)

AutoImpute: Autoencoder based imputation of single-cell RNA-seq data
por: Talwar, Divyanshu, et al.
Publicado: (2018)

FITs: forest of imputation trees for recovering true signals in single-cell open chromatin profiles
por: Sharma, Rachesh, et al.
Publicado: (2020)

A Low-Rank Matrix Recovery Approach for Energy Efficient EEG Acquisition for a Wireless Body Area Network
por: Majumdar, Angshul, et al.
Publicado: (2014)

Rank Awareness in Group-Sparse Recovery of Multi-Echo MR Images
por: Majumdar, Angshul, et al.
Publicado: (2013)

Deep learning for gastroscopic images: computer-aided techniques for clinicians
por: Jin, Ziyi, et al.
Publicado: (2022)

CREAMMIST: an integrative probabilistic database for cancer drug response prediction
por: Yingtaweesittikul, Hatairat, et al.
Publicado: (2022)

Calibrationless Parallel Magnetic Resonance Imaging: A Joint Sparsity Model
por: Majumdar, Angshul, et al.
Publicado: (2013)

Marine Drug Discovery through Computer-Aided Approaches
por: Gaudêncio, Susana P., et al.
Publicado: (2023)

Machine intelligence and signal processing
por: Singh, Richa, et al.
Publicado: (2016)

WHAT CLINICIANS NEED TO KNOW ABOUT ANTIVIRAL DRUGS AND VIRAL RESISTANCE
por: Hodinka, Richard L.
Publicado: (1997)

Computer-aided drug discovery
por: Bajorath, Jürgen
Publicado: (2015)

Computer-aided drug design
por: Ece, Abdulilah
Publicado: (2023)

A new antiviral scaffold for human norovirus identified with computer-aided approaches on the viral polymerase
por: Giancotti, Gilda, et al.
Publicado: (2019)

Integrated computer-aided drug design and biophysical simulation approaches to determine natural anti-bacterial compounds for Acinetobacter baumannii
por: Almihyawi, Raed A. H., et al.
Publicado: (2022)

Key ingredients in Verbena officinalis and determination of their anti-atherosclerotic effect using a computer-aided drug design approach
por: Chen, Yuting, et al.
Publicado: (2023)

Anti-viral drug discovery against monkeypox and smallpox infection by natural curcumin derivatives: A Computational drug design approach
por: Akash, Shopnil, et al.
Publicado: (2023)

In silico virtual screening approaches for anti-viral drug discovery
por: Murgueitio, Manuela S., et al.
Publicado: (2012)

Insights into bioinformatic approaches for repurposing compounds as anti-viral drugs
por: Zheng, Wenxiao, et al.
Publicado: (2021)

Recent Advances in Application of Computer-Aided Drug Design in Anti-Influenza A Virus Drug Discovery
por: Yu, Dahai, et al.
Publicado: (2022)

Computer-Aided Drug Design in Epigenetics
por: Lu, Wenchao, et al.
Publicado: (2018)

Drug Discovery for Mycobacterium tuberculosis Using Structure-Based Computer-Aided Drug Design Approach
por: Ejalonibu, Murtala A., et al.
Publicado: (2021)

Corrigendum: Anti-viral drug discovery against monkeypox and smallpox infection by natural curcumin derivatives: a computational drug design approach
por: Akash, Shopnil, et al.
Publicado: (2023)

Role of Computer-Aided Drug Design in Drug Development
por: Gu, Ruoxu, et al.
Publicado: (2023)

Computer aided selection of candidate vaccine antigens
por: Flower, Darren R, et al.
Publicado: (2010)

DrugDevCovid19: An Atlas of Anti-COVID-19 Compounds Derived by Computer-Aided Drug Design
por: Liu, Yang, et al.
Publicado: (2022)

How can clinicians counter viral misinformation?
por: Duong, Diana
Publicado: (2021)

Therapeutic Inhibition of Myc in Cancer. Structural Bases and Computer-Aided Drug Discovery Approaches
por: Carabet, Lavinia A., et al.
Publicado: (2018)

TLR4-Targeting Therapeutics: Structural Basis and Computer-Aided Drug Discovery Approaches
por: Ain, Qurat ul, et al.
Publicado: (2020)

Computational approaches in viral ecology
por: Khot, Varada, et al.
Publicado: (2020)

Computer-Aided Drug Discovery in Plant Pathology
por: Shanmugam, Gnanendra, et al.
Publicado: (2017)

Computer-Aided Approaches for Targeting HIVgp41
por: Allen, William J., et al.
Publicado: (2012)

Editorial: Computer-aided drug design: Drug discovery, computational modelling, and artificial intelligence
por: Ye, Fei, et al.
Publicado: (2022)

2503. Differences Between Experts and Community Clinicians in Selecting HIV Switch Regimens for Patients With Viral Suppression
por: Blanchette, Jennifer, et al.
Publicado: (2019)

Fragment-Based Docking: Development of the CHARMMing Web User Interface as a Platform for Computer-Aided Drug Design
por: Pevzner, Yuri, et al.
Publicado: (2014)

Anti-Viral Drugs for Human Adenoviruses
por: Waye, Mary Miu Yee, et al.
Publicado: (2010)

Computer-aided Drug Design Applied to Parkinson Targets
por: Ishiki, Hamilton M., et al.
Publicado: (2018)

Applications of machine learning in computer-aided drug discovery
por: Turzo, SM Bargeen Alam, et al.
Publicado: (2022)

Computer-Aided Drug Design towards New Psychotropic and Neurological Drugs
por: Dorahy, Georgia, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_4607kv3r7h8vut75nkgcjgh9to