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OpenAlex Citation Counts

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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:

Benchmarking Refined and Unrefined AlphaFold2 Structures for Hit Discovery
Yuqi Zhang, Márton Vass, Da Shi, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 6, pp. 1656-1667
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Computational approaches streamlining drug discovery
Anastasiia Sadybekov, Vsevolod Katritch
Nature (2023) Vol. 616, Iss. 7958, pp. 673-685
Open Access | Times Cited: 511
AlphaFold2 and its applications in the fields of biology and medicine
Zhenyu Yang, Xiaoxi Zeng, Yi Zhao, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 218
How good are AlphaFold models for docking-based virtual screening?
Valeria Scardino, Juan I. Di Filippo, Claudio N. Cavasotto
iScience (2022) Vol. 26, Iss. 1, pp. 105920-105920
Open Access | Times Cited: 116
Modeling conformational states of proteins with AlphaFold
Davide Sala, Felipe Engelberger, Hassane S. Mchaourab, et al.
Current Opinion in Structural Biology (2023) Vol. 81, pp. 102645-102645
Open Access | Times Cited: 102
The Art and Science of Molecular Docking
Joseph M. Paggi, Ayush Pandit, Ron O. Dror
Annual Review of Biochemistry (2024) Vol. 93, Iss. 1, pp. 389-410
Closed Access | Times Cited: 51
AlphaFold, allosteric, and orthosteric drug discovery: Ways forward
Ruth Nussinov, Mingzhen Zhang, Yonglan Liu, et al.
Drug Discovery Today (2023) Vol. 28, Iss. 6, pp. 103551-103551
Open Access | Times Cited: 49
State-specific protein–ligand complex structure prediction with a multiscale deep generative model
Zhuoran Qiao, Weili Nie, Arash Vahdat, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 2, pp. 195-208
Closed Access | Times Cited: 45
AlphaFold2 structures guide prospective ligand discovery
Jiankun Lyu, Nicholas J. Kapolka, Ryan H. Gumpper, et al.
Science (2024) Vol. 384, Iss. 6702
Closed Access | Times Cited: 41
AI for targeted polypharmacology: The next frontier in drug discovery
Anna Cichońska, Balaguru Ravikumar, Rayees Rahman
Current Opinion in Structural Biology (2024) Vol. 84, pp. 102771-102771
Closed Access | Times Cited: 19
Evaluation of AlphaFold2 structures as docking targets
Matthew Holcomb, Ya‐Ting Chang, David S. Goodsell, et al.
Protein Science (2022) Vol. 32, Iss. 1
Open Access | Times Cited: 60
Structure-based virtual screening of vast chemical space as a starting point for drug discovery
Jens Carlsson, Andreas Luttens
Current Opinion in Structural Biology (2024) Vol. 87, pp. 102829-102829
Open Access | Times Cited: 10
Comparative Structure-Based Virtual Screening Utilizing Optimized AlphaFold Model Identifies Selective HDAC11 Inhibitor
Fady Baselious, Sebastian Hilscher, Dina Robaa, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 2, pp. 1358-1358
Open Access | Times Cited: 8
From byte to bench to bedside: molecular dynamics simulations and drug discovery
M.W. Ahmed, Alex M. Maldonado, Jacob D. Durrant
BMC Biology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 19
Drug Repositioning via Graph Neural Networks: Identifying Novel JAK2 Inhibitors from FDA-Approved Drugs through Molecular Docking and Biological Validation
Muhammad Yasir, Jinyoung Park, Eun‐Taek Han, et al.
Molecules (2024) Vol. 29, Iss. 6, pp. 1363-1363
Open Access | Times Cited: 6
A comprehensive exploration of the druggable conformational space of protein kinases using AI-predicted structures
Noah B. Herrington, Yan Chak Li, David Stein, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1012302-e1012302
Open Access | Times Cited: 6
Comparative Structure Based Virtual Screening Utilizing Optimized AlphaFold Model Identifies Selective HDAC11 Inhibitor
Fady Baselious, Sebastian Hilscher, Dina Robaa, et al.
(2024)
Open Access | Times Cited: 5
DiffBindFR: an SE(3) equivariant network for flexible protein–ligand docking
Jintao Zhu, Zhonghui Gu, Jianfeng Pei, et al.
Chemical Science (2024) Vol. 15, Iss. 21, pp. 7926-7942
Open Access | Times Cited: 5
Discovery of Novel Aldose Reductase Inhibitors via the Integration of Ligand-Based and Structure-Based Virtual Screening with Experimental Validation
Muhammad Yasir, Jin‐Young Park, Wanjoo Chun
ACS Omega (2024) Vol. 9, Iss. 18, pp. 20338-20349
Open Access | Times Cited: 5
Improving the Reliability of Language Model-Predicted Structures as Docking Targets through Geometric Graph Learning
Chao Shen, Xiaoqi Han, Heng Cai, et al.
Journal of Medicinal Chemistry (2025)
Closed Access
Post-Docking Refinement of Peptide or Protein-RNA Complexes Using Thermal Titration Molecular Dynamics (TTMD): A Stability Insight
Andrea Dodaro, Gianluca Novello, Silvia Menin, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
AlphaFold and what is next: bridging functional, systems and structural biology
Kacper Szczepski, Łukasz Jaremko
Expert Review of Proteomics (2025)
Closed Access
Ligand-Conditioned Side Chain Packing for Flexible Molecular Docking
Ding Luo, Xiaoyang Qu, Dexin Lu, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access
Modeling Boltzmann-weighted structural ensembles of proteins using artificial intelligence–based methods
Akashnathan Aranganathan, Xinyu Gu, Dedi Wang, et al.
Current Opinion in Structural Biology (2025) Vol. 91, pp. 103000-103000
Open Access
Advancements in protein structure prediction: A comparative overview of AlphaFold and its derivatives
Yuktika Malhotra, Jerry R. John, Deepika Yadav, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109842-109842
Closed Access
Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction
Sumin Lee, Seeun Kim, Gyu Rie Lee, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 158-167
Open Access | Times Cited: 26
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