Improving Blind Docking in DOCK6 through an Automated Preliminary Fragment Probing Strategy
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Improving Blind Docking in DOCK6 through an Automated Preliminary Fragment Probing Strategy
Authors
Keywords
-
Journal
MOLECULES
Volume 26, Issue 5, Pages 1224
Publisher
MDPI AG
Online
2021-02-26
DOI
10.3390/molecules26051224
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- CB-Dock: a web server for cavity detection-guided protein–ligand blind docking
- (2019) Yang Liu et al. ACTA PHARMACOLOGICA SINICA
- Key Topics in Molecular Docking for Drug Design
- (2019) Pedro H. M. Torres et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction
- (2018) Youjun Xu et al. NUCLEIC ACIDS RESEARCH
- COACH-D: improved protein–ligand binding sites prediction with refined ligand-binding poses through molecular docking
- (2018) Qi Wu et al. NUCLEIC ACIDS RESEARCH
- Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration
- (2017) Nafisa M. Hassan et al. Scientific Reports
- DOCK 6: Impact of new features and current docking performance
- (2015) William J. Allen et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- The FTMap family of web servers for determining and characterizing ligand-binding hot spots of proteins
- (2015) Dima Kozakov et al. Nature Protocols
- Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screening
- (2015) Qurrat Ul Ain et al. Wiley Interdisciplinary Reviews-Computational Molecular Science
- A dynamic niching genetic algorithm strategy for docking highly flexible ligands
- (2014) Camila Silva de Magalhães et al. INFORMATION SCIENCES
- pocketZebra: a web-server for automated selection and classification of subfamily-specific binding sites by bioinformatic analysis of diverse protein families
- (2014) Dmitry Suplatov et al. NUCLEIC ACIDS RESEARCH
- DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment
- (2012) A. Volkamer et al. BIOINFORMATICS
- FTSite: high accuracy detection of ligand binding sites on unbound protein structures
- (2011) Chi-Ho Ngan et al. BIOINFORMATICS
- Fast docking using the CHARMM force field with EADock DSS
- (2011) Aurélien Grosdidier et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- SwissDock, a protein-small molecule docking web service based on EADock DSS
- (2011) A. Grosdidier et al. NUCLEIC ACIDS RESEARCH
- BSP-SLIM: A blind low-resolution ligand-protein docking approach using predicted protein structures
- (2011) Hui Sun Lee et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Fpocket: An open source platform for ligand pocket detection
- (2009) Vincent Le Guilloux et al. BMC BIOINFORMATICS
- 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
- Improving accuracy and efficiency of blind protein-ligand docking by focusing on predicted binding sites
- (2008) Dario Ghersi et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Efficient docking of peptides to proteins without prior knowledge of the binding site
- (2002) Csaba Hetényi et al. PROTEIN SCIENCE
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