
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis
Emanuele Vitali, Federico Ficarelli, Mauro Bisson, et al.
Journal of Parallel and Distributed Computing (2023) Vol. 186, pp. 104819-104819
Open Access | Times Cited: 10
Emanuele Vitali, Federico Ficarelli, Mauro Bisson, et al.
Journal of Parallel and Distributed Computing (2023) Vol. 186, pp. 104819-104819
Open Access | Times Cited: 10
Showing 10 citing articles:
Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs
Gianmarco Accordi, Davide Gadioli, Emanele Vitali, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 8, pp. 11798-11815
Open Access | Times Cited: 3
Gianmarco Accordi, Davide Gadioli, Emanele Vitali, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 8, pp. 11798-11815
Open Access | Times Cited: 3
Enabling performance portability on the LiGen drug discovery pipeline
Luigi Crisci, Lorenzo Carpentieri, Biagio Cosenza, et al.
Future Generation Computer Systems (2024) Vol. 158, pp. 44-59
Open Access | Times Cited: 1
Luigi Crisci, Lorenzo Carpentieri, Biagio Cosenza, et al.
Future Generation Computer Systems (2024) Vol. 158, pp. 44-59
Open Access | Times Cited: 1
Comparative Molecular Docking of Apigenin and Luteolin Versus Conventional Ligands for TP-53, pRb, APOBEC3H, and HPV-16 E6: Potential Clinical Applications in Preventing Gy-necological Malignancies
Momir Dunjić, Stefano Turini, Lazar Nejkovic, et al.
(2024)
Open Access | Times Cited: 1
Momir Dunjić, Stefano Turini, Lazar Nejkovic, et al.
(2024)
Open Access | Times Cited: 1
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, et al.
(2023), pp. 272-278
Open Access | Times Cited: 3
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli, et al.
(2023), pp. 272-278
Open Access | Times Cited: 3
Insight into the Binding Interaction between PEDCs and hERRγ Utilizing Molecular Docking and Molecular Dynamics Simulations
Fanqiang Bu, Lin Chen, Ying Sun, et al.
Molecules (2024) Vol. 29, Iss. 14, pp. 3256-3256
Open Access
Fanqiang Bu, Lin Chen, Ying Sun, et al.
Molecules (2024) Vol. 29, Iss. 14, pp. 3256-3256
Open Access
HyperQueue: Efficient and ergonomic task graphs on HPC clusters
Jakub Beránek, A. Bohm, Gianluca Palermo, et al.
SoftwareX (2024) Vol. 27, pp. 101814-101814
Open Access
Jakub Beránek, A. Bohm, Gianluca Palermo, et al.
SoftwareX (2024) Vol. 27, pp. 101814-101814
Open Access
A Portable Drug Discovery Platform for Urgent Computing
Davide Gadioli, Gianmarco Accordi, Jan Křenek, et al.
Procedia Computer Science (2024) Vol. 240, pp. 42-51
Open Access
Davide Gadioli, Gianmarco Accordi, Jan Křenek, et al.
Procedia Computer Science (2024) Vol. 240, pp. 42-51
Open Access
Enzyme ChE, cholinergic therapy and molecular docking: Significant considerations and future perspectives
Snežana M Jovičić
International Journal of Immunopathology and Pharmacology (2024) Vol. 38
Open Access
Snežana M Jovičić
International Journal of Immunopathology and Pharmacology (2024) Vol. 38
Open Access
Phenotypic approaches for CNS drugs
Rakesh Sharma, Caitlin R. M. Oyagawa, Hamid Abbasi, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 11, pp. 997-1017
Open Access
Rakesh Sharma, Caitlin R. M. Oyagawa, Hamid Abbasi, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 11, pp. 997-1017
Open Access
Exploring the future of biopharmaceutical drug discovery: can advanced AI platforms overcome current challenges?
Alberto Bettanti, Andrea R. Beccari, Marco Biccarino
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access
Alberto Bettanti, Andrea R. Beccari, Marco Biccarino
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access