Related references
Note: Only part of the references are listed.A Review on Parallel Virtual Screening Softwares for High-Performance Computers
Natarajan Arul Murugan et al.
PHARMACEUTICALS (2022)
Accelerating AutoDock Vina with GPUs
Shidi Tang et al.
MOLECULES (2022)
Accelerating AUTODOCK4 with GPUs and Gradient-Based Local Search
Diogo Santos-Martins et al.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION (2021)
An open-source drug discovery platform enables ultra-large virtual screens
Christoph Gorgulla et al.
NATURE (2020)
Evaluating the Energy Efficiency of OpenCL-accelerated AutoDock Molecular Docking
Leonardo Solis-Vasquez et al.
2020 28TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING (PDP 2020) (2020)
Evaluation of AutoDock and AutoDock Vina on the CASF-2013 Benchmark
Thomas Gaillard
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2018)
Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview
Veronica Salmaso et al.
FRONTIERS IN PHARMACOLOGY (2018)
Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration
Nafisa M. Hassan et al.
SCIENTIFIC REPORTS (2017)
Visualizing Quaternion Multiplication
Jongchan Baek et al.
IEEE ACCESS (2017)
A New, Improved Hybrid Scoring Function for Molecular Docking and Scoring Based on AutoDock and AutoDock Vina
Vsevolod Yu Tanchuk et al.
CHEMICAL BIOLOGY & DRUG DESIGN (2016)
Integrated Computational Approach for Virtual Hit Identification against Ebola Viral Proteins VP35 and VP40
Muhammad Usman Mirza et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2016)
1001 Ways to run AutoDock Vina for virtual screening
Mohammad Mahdi Jaghoori et al.
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN (2016)
Computational protein-ligand docking and virtual drug screening with the AutoDock suite
Stefano Forli et al.
NATURE PROTOCOLS (2016)
Vinardo: A Scoring Function Based on Autodock Vina Improves Scoring, Docking, and Virtual Screening
Rodrigo Quiroga et al.
PLOS ONE (2016)
Fast, accurate, and reliable molecular docking with QuickVina 2
Amr Alhossary et al.
BIOINFORMATICS (2015)
QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization
Stephanus Daniel Handoko et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2012)
AutoDock4 and AutoDockTools4: Automated Docking with Selective Receptor Flexibility
Garrett M. Morris et al.
JOURNAL OF COMPUTATIONAL CHEMISTRY (2009)
Application of the PM6 semi-empirical method to modeling proteins enhances docking accuracy of AutoDock
Zsolt Bikadi et al.
JOURNAL OF CHEMINFORMATICS (2009)