First structure–activity relationship analysis of SARS-CoV-2 virus main protease (Mpro) inhibitors: an endeavor on COVID-19 drug discovery
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
First structure–activity relationship analysis of SARS-CoV-2 virus main protease (Mpro) inhibitors: an endeavor on COVID-19 drug discovery
Authors
Keywords
-
Journal
MOLECULAR DIVERSITY
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-01-05
DOI
10.1007/s11030-020-10166-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- α-Ketoamides as Broad-Spectrum Inhibitors of Coronavirus and Enterovirus Replication: Structure-Based Design, Synthesis, and Activity Assessment
- (2020) Linlin Zhang et al. JOURNAL OF MEDICINAL CHEMISTRY
- In silico studies of novel scaffold of thiazolidin-4-one derivatives as anti-Toxoplasma gondii agents by 2D/3D-QSAR, molecular docking, and molecular dynamics simulations
- (2020) Rahman Abdizadeh et al. STRUCTURAL CHEMISTRY
- Drug Development and Medicinal Chemistry Efforts toward SARS‐Coronavirus and Covid‐19 Therapeutics
- (2020) Arun K. Ghosh et al. ChemMedChem
- Meet Our Section Editor
- (2020) Walter Filgueira de Azevedo COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
- Prediction of Novel Inhibitors of the Main Protease (M-pro) of SARS-CoV-2 through Consensus Docking and Drug Reposition
- (2020) Aleix Gimeno et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors
- (2020) Zhenming Jin et al. NATURE
- Structure-based design of antiviral drug candidates targeting the SARS-CoV-2 main protease
- (2020) Wenhao Dai et al. SCIENCE
- Crystal structure of SARS-CoV-2 main protease provides a basis for design of improved α-ketoamide inhibitors
- (2020) Linlin Zhang et al. SCIENCE
- Targeting the Dimerization of the Main Protease of Coronaviruses: A Potential Broad-Spectrum Therapeutic Strategy
- (2020) Bhupesh Goyal et al. ACS Combinatorial Science
- The application of machine learning techniques to innovative antibacterial discovery and development
- (2020) Mateus Sá Magalhães Serafim et al. Expert Opinion on Drug Discovery
- Chemical-informatics approach to COVID-19 drug discovery: Monte Carlo based QSAR, virtual screening and molecular docking study of some in-house molecules as papain-like protease (PLpro) inhibitors
- (2020) Sk. Abdul Amin et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- COVID-19: Drug Targets and Potential Treatments
- (2020) Carmen Gil et al. JOURNAL OF MEDICINAL CHEMISTRY
- Development of a simple, interpretable and easily transferable QSAR model for quick screening antiviral databases in search of novel 3C-like protease (3CLpro) enzyme inhibitors against SARS-CoV diseases
- (2020) V. Kumar et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
- Structure-based drug designing and immunoinformatics approach for SARS-CoV-2
- (2020) Pritam Kumar Panda et al. Science Advances
- Fight against novel coronavirus: A perspective of medicinal chemists
- (2020) Sk Abdul Amin et al. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- In silico modeling for quick prediction of inhibitory activity against 3CLpro enzyme in SARS CoV diseases
- (2020) Priyanka De et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- SARS-CoV Mpro inhibitory activity of aromatic disulfide compounds: QSAR model
- (2020) Andrey A. Toropov et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Chemical-informatics approach to COVID-19 drug discovery: Exploration of important fragments and data mining based prediction of some hits from natural origins as main protease (Mpro) inhibitors
- (2020) Kalyan Ghosh et al. JOURNAL OF MOLECULAR STRUCTURE
- Classical and 3D QSAR studies of larvicidal monoterpenes against Aedes aegypti: new molecular insights for the rational design of more active compounds
- (2018) Ieda Maria dos Santos et al. STRUCTURAL CHEMISTRY
- Interpretation of Quantitative Structure–Activity Relationship Models: Past, Present, and Future
- (2017) Pavel Polishchuk Journal of Chemical Information and Modeling
- First report on the structural exploration and prediction of new BPTES analogs as glutaminase inhibitors
- (2017) Sk. Abdul Amin et al. JOURNAL OF MOLECULAR STRUCTURE
- Novel naïve Bayes classification models for predicting the chemical Ames mutagenicity
- (2017) Hui Zhang et al. TOXICOLOGY IN VITRO
- A comprehensive computational analysis of cathinone and its metabolites using quantum mechanical approaches and docking studies
- (2016) Wojciech Kolodziejczyk et al. STRUCTURAL CHEMISTRY
- “NanoBRIDGES” software: Open access tools to perform QSAR and nano-QSAR modeling
- (2015) Pravin Ambure et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Chemometrics tools in QSAR/QSPR studies: A historical perspective
- (2015) Saeed Yousefinejad et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Novel Bayesian classification models for predicting compounds blocking hERG potassium channels
- (2014) Li-li Liu et al. ACTA PHARMACOLOGICA SINICA
- g_mmpbsa—A GROMACS Tool for High-Throughput MM-PBSA Calculations
- (2014) Rashmi Kumari et al. Journal of Chemical Information and Modeling
- Development of classification and regression based QSAR models to predict rodent carcinogenic potency using oral slope factor
- (2012) Supratik Kar et al. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
- QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids
- (2012) Andrey A. Toropov et al. STRUCTURAL CHEMISTRY
- First report on predictive chemometric modeling, 3D-toxicophore mapping and in silico screening of in vitro basal cytotoxicity of diverse organic chemicals
- (2012) Supratik Kar et al. TOXICOLOGY IN VITRO
- Extended-Connectivity Fingerprints
- (2010) David Rogers et al. Journal of Chemical Information and Modeling
- PaDEL-descriptor: An open source software to calculate molecular descriptors and fingerprints
- (2010) Chun Wei Yap JOURNAL OF COMPUTATIONAL CHEMISTRY
- Emerging principles in protease-based drug discovery
- (2010) Marcin Drag et al. NATURE REVIEWS DRUG DISCOVERY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now