Strengths and Weaknesses of Docking Simulations in the SARS-CoV-2 Era: the Main Protease (Mpro) Case Study
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Title
Strengths and Weaknesses of Docking Simulations in the SARS-CoV-2 Era: the Main Protease (Mpro) Case Study
Authors
Keywords
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Journal
Journal of Chemical Information and Modeling
Volume 61, Issue 8, Pages 3758-3770
Publisher
American Chemical Society (ACS)
Online
2021-07-27
DOI
10.1021/acs.jcim.1c00404
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Note: Only part of the references are listed.- Accelerating AutoDock4 with GPUs and Gradient-Based Local Search
- (2021) Diogo Santos-Martins et al. Journal of Chemical Theory and Computation
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- (2021) Daniel W. Kneller et al. JOURNAL OF MEDICINAL CHEMISTRY
- A new coronavirus associated with human respiratory disease in China
- (2020) Fan Wu et al. NATURE
- Ligand‐centered assessment of SARS‐CoV‐2 drug target models in the Protein Data Bank
- (2020) Alexander Wlodawer et al. FEBS Journal
- Potential Inhibitors for Novel Coronavirus Protease Identified by Virtual Screening of 606 Million Compounds
- (2020) André Fischer et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- 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
- Fragment tailoring strategy to design novel chemical entities as potential binders of novel corona virus main protease
- (2020) Chinmayee Choudhury JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Improving Docking-Based Virtual Screening Ability by Integrating Multiple Energy Auxiliary Terms from Molecular Docking Scoring
- (2020) Wen-Ling Ye et al. Journal of Chemical Information and Modeling
- Improving Protein-Ligand Docking Results with High-Throughput Molecular Dynamics Simulations
- (2020) Hugo Guterres et al. Journal of Chemical Information and Modeling
- Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial
- (2020) Yeming Wang et al. LANCET
- Putative Inhibitors of SARS-CoV-2 Main Protease from A Library of Marine Natural Products: A Virtual Screening and Molecular Modeling Study
- (2020) Davide Gentile et al. Marine Drugs
- Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compounds
- (2020) Anh-Tien Ton et al. Molecular Informatics
- Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors
- (2020) Zhenming Jin et al. NATURE
- Citrus reticulata peel oil as an antiatherogenic agent: Hypolipogenic effect in hepatic cells, lipid storage decrease in foam cells, and prevention of LDL oxidation
- (2020) María A. Castro et al. NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES
- 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
- COVID-19: Living through Another Pandemic
- (2020) Essam Eldin A. Osman et al. ACS Infectious Diseases
- Identification of potential drug candidates to combat COVID-19: a structural study using the main protease (mpro) of SARS-CoV-2
- (2020) Pradeep Sharma et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Predictive modeling by deep learning, virtual screening and molecular dynamics study of natural compounds against SARS-CoV-2 main protease
- (2020) Tanuja Joshi et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- vsFilt: A Tool to Improve Virtual Screening by Structural Filtration of Docking Poses
- (2020) Irina V. Gushchina et al. Journal of Chemical Information and Modeling
- In silico Drug Repurposing for COVID‐19: Targeting SARS‐CoV‐2 Proteins through Docking and Consensus Ranking
- (2020) Claudio Cavasotto et al. Molecular Informatics
- Machine learning classification can reduce false positives in structure-based virtual screening
- (2020) Yusuf O. Adeshina et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Identification of high-affinity inhibitors of SARS-CoV-2 main protease: Towards the development of effective COVID-19 therapy
- (2020) Taj Mohammad et al. VIRUS RESEARCH
- Identification of key interactions between SARS-CoV-2 main protease and inhibitor drug candidates
- (2020) Ryunosuke Yoshino et al. Scientific Reports
- Structure-based drug designing and immunoinformatics approach for SARS-CoV-2
- (2020) Pritam Kumar Panda et al. Science Advances
- Structure-based virtual screening of phytochemicals and repurposing of FDA approved antiviral drugs unravels lead molecules as potential inhibitors of coronavirus 3C-like protease enzyme
- (2020) Arun Bahadur Gurung et al. JOURNAL OF KING SAUD UNIVERSITY SCIENCE
- Active constituents and mechanisms of Respiratory Detox Shot, a traditional Chinese medicine prescription, for COVID-19 control and prevention: Network-molecular docking-LC–MSE analysis
- (2020) Zi-jia Zhang et al. Journal of Integrative Medicine-JIM
- The SARS-CoV-2 main protease as drug target
- (2020) Sven Ullrich et al. BIOORGANIC & MEDICINAL CHEMISTRY LETTERS
- Unusual zwitterionic catalytic site of SARS-CoV-2 main protease revealed by neutron crystallography
- (2020) Daniel W. Kneller et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- Protein reliability analysis and virtual screening of natural inhibitors for SARS-CoV-2 main protease (Mpro) through docking, molecular mechanic & dynamic, and ADMET profiling
- (2020) Karina Kapusta et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- In silico molecular investigations of pyridine N-Oxide compounds as potential inhibitors of SARS-CoV-2: 3D QSAR, molecular docking modeling, and ADMET screening
- (2020) Adib Ghaleb et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Identification of 14 Known Drugs as Inhibitors of the Main Protease of SARS-CoV-2
- (2020) Mohammad M. Ghahremanpour et al. ACS Medicinal Chemistry Letters
- Crystallographic and electrophilic fragment screening of the SARS-CoV-2 main protease
- (2020) Alice Douangamath et al. Nature Communications
- Can drug repurposing strategies be the solution to the COVID-19 crisis?
- (2020) Carolina L. Bellera et al. Expert Opinion on Drug Discovery
- Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19
- (2020) A. Acharya et al. Journal of Chemical Information and Modeling
- Structure-Based Virtual Screening and Biochemical Validation to Discover a Potential Inhibitor of the SARS-CoV-2 Main Protease
- (2020) Akshita Gupta et al. ACS Omega
- Improved Method of Structure-Based Virtual Screening via Interaction-Energy-Based Learning
- (2019) Nobuaki Yasuo et al. Journal of Chemical Information and Modeling
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- The Natural Products Atlas: An Open Access Knowledge Base for Microbial Natural Products Discovery
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- Assessing protein–ligand interaction scoring functions with the CASF-2013 benchmark
- (2018) Yan Li et al. Nature Protocols
- IMPPAT: A curated database of Indian Medicinal Plants, Phytochemistry And Therapeutics
- (2018) Karthikeyan Mohanraj et al. Scientific Reports
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- (2018) Veronica Salmaso et al. Frontiers in Pharmacology
- PubChem 2019 update: improved access to chemical data
- (2018) Sunghwan Kim et al. NUCLEIC ACIDS RESEARCH
- ChEMBL: towards direct deposition of bioassay data
- (2018) David Mendez et al. NUCLEIC ACIDS RESEARCH
- Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening
- (2017) Spencer S. Ericksen et al. Journal of Chemical Information and Modeling
- Neutron Crystallography for the Study of Hydrogen Bonds in Macromolecules
- (2017) Esko Oksanen et al. MOLECULES
- Database resources of the National Center for Biotechnology Information
- (2017) et al. NUCLEIC ACIDS RESEARCH
- SuperDRUG2: a one stop resource for approved/marketed drugs
- (2017) Vishal B Siramshetty et al. NUCLEIC ACIDS RESEARCH
- DrugBank 5.0: a major update to the DrugBank database for 2018
- (2017) David S Wishart et al. NUCLEIC ACIDS RESEARCH
- Getting the chemistry right: protonation, tautomers and the importance of H atoms in biological chemistry
- (2017) Ben Bax et al. Acta Crystallographica Section D-Structural Biology
- Performance of machine-learning scoring functions in structure-based virtual screening
- (2017) Maciej Wójcikowski et al. Scientific Reports
- Improving scoring-docking-screening powers of protein-ligand scoring functions using random forest
- (2016) Cheng Wang et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Comprehensive evaluation of ten docking programs on a diverse set of protein–ligand complexes: the prediction accuracy of sampling power and scoring power
- (2016) Zhe Wang et al. PHYSICAL CHEMISTRY CHEMICAL PHYSICS
- Fast, accurate, and reliable molecular docking with QuickVina 2
- (2015) Amr Alhossary et al. BIOINFORMATICS
- ZINC 15 – Ligand Discovery for Everyone
- (2015) Teague Sterling et al. Journal of Chemical Information and Modeling
- Looking for Hydrogen Atoms: Neutron Crystallography Provides Novel Insights Into Protein Structure and Function
- (2014) Emily A. Golden et al. AUSTRALIAN JOURNAL OF CHEMISTRY
- Comparative Assessment of Scoring Functions on an Updated Benchmark: 2. Evaluation Methods and General Results
- (2014) Yan Li et al. Journal of Chemical Information and Modeling
- Protein-Ligand Docking in the New Millennium – A Retrospective of 10 Years in the Field
- (2013) S.F. Sousa et al. CURRENT MEDICINAL CHEMISTRY
- Lessons Learned in Empirical Scoring with smina from the CSAR 2011 Benchmarking Exercise
- (2013) David Ryan Koes et al. Journal of Chemical Information and Modeling
- From methylene blue to chloroquine: a brief review of the development of an antimalarial therapy
- (2012) Kristine Krafts et al. PARASITOLOGY RESEARCH
- Consensus virtual screening approaches to predict protein ligands
- (2011) Andreas Kukol EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
- A Force Field with Discrete Displaceable Waters and Desolvation Entropy for Hydrated Ligand Docking
- (2011) Stefano Forli et al. JOURNAL OF MEDICINAL CHEMISTRY
- TCM Database@Taiwan: The World's Largest Traditional Chinese Medicine Database for Drug Screening In Silico
- (2011) Calvin Yu-Chian Chen PLoS One
- Open Babel: An open chemical toolbox
- (2011) Noel M O'Boyle et al. Journal of Cheminformatics
- Unambiguous determination of H-atom positions: comparing results from neutron and high-resolution X-ray crystallography
- (2010) Anna S. Gardberg et al. ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY
- Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database
- (2010) Dariusz Plewczynski et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Managing protein flexibility in docking and its applications
- (2009) Chandrika B-Rao et al. DRUG DISCOVERY TODAY
- Validation of Molecular Docking Programs for Virtual Screening against Dihydropteroate Synthase
- (2009) Kirk E. Hevener et al. Journal of Chemical Information and Modeling
- Comparison of Several Molecular Docking Programs: Pose Prediction and Virtual Screening Accuracy
- (2009) Jason B. Cross et al. Journal of Chemical Information and Modeling
- AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
- (2009) Oleg Trott et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility
- (2009) Garrett M. Morris et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- Virtual Screening Using PLS Discriminant Analysis and ROC Curve Approach: An Application Study on PDE4 Inhibitors
- (2008) Andrea Rizzi et al. Journal of Chemical Information and Modeling
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