
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:
Advancing Ligand Docking through Deep Learning: Challenges and Prospects in Virtual Screening
Xujun Zhang, Chao Shen, Haotian Zhang, et al.
Accounts of Chemical Research (2024) Vol. 57, Iss. 10, pp. 1500-1509
Closed Access | Times Cited: 16
Xujun Zhang, Chao Shen, Haotian Zhang, et al.
Accounts of Chemical Research (2024) Vol. 57, Iss. 10, pp. 1500-1509
Closed Access | Times Cited: 16
Showing 16 citing articles:
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
Chao Shen, Xiaoqi Han, Heng Cai, et al.
Journal of Medicinal Chemistry (2025)
Closed Access
Peripheral Evolution of Tanshinone IIA and Cryptotanshinone for Discovery of a Potent and Specific NLRP3 Inflammasome Inhibitor
Wenqi Zhu, Xiaodong Bao, Yuyan Yang, et al.
Journal of Medicinal Chemistry (2025)
Closed Access
Wenqi Zhu, Xiaodong Bao, Yuyan Yang, et al.
Journal of Medicinal Chemistry (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
Ding Luo, Xiaoyang Qu, Dexin Lu, et al.
Journal of Chemical Theory and Computation (2025)
Closed Access
Benchmarking AI-powered docking methods from the perspective of virtual screening
Shukai Gu, Chao Shen, Xujun Zhang, et al.
Nature Machine Intelligence (2025)
Closed Access
Shukai Gu, Chao Shen, Xujun Zhang, et al.
Nature Machine Intelligence (2025)
Closed Access
De novo in silico screening of natural products for antidiabetic drug discovery: ADMET profiling, molecular docking, and molecular dynamics simulations
Sulyman Olalekan Ibrahim, Yusuf Oloruntoyin Ayipo, Halimat Yusuf Lukman, et al.
In Silico Pharmacology (2025) Vol. 13, Iss. 1
Closed Access
Sulyman Olalekan Ibrahim, Yusuf Oloruntoyin Ayipo, Halimat Yusuf Lukman, et al.
In Silico Pharmacology (2025) Vol. 13, Iss. 1
Closed Access
Increase Docking Score Screening Power by Simple Fusion With CNNscore
Huicong Liang, Aowei Xie, Ning Hou, et al.
Journal of Computational Chemistry (2025) Vol. 46, Iss. 6
Open Access
Huicong Liang, Aowei Xie, Ning Hou, et al.
Journal of Computational Chemistry (2025) Vol. 46, Iss. 6
Open Access
Principles and Design of Molecular Tools for Sensing and Perturbing Cell Surface Receptor Activity
Jennifer Sescil, Steven M. Havens, Wenjing Wang
Chemical Reviews (2025)
Closed Access
Jennifer Sescil, Steven M. Havens, Wenjing Wang
Chemical Reviews (2025)
Closed Access
The future of pharmaceuticals: Artificial intelligence in drug discovery and development
Chen Fu, Qi Chen
Journal of Pharmaceutical Analysis (2025), pp. 101248-101248
Open Access
Chen Fu, Qi Chen
Journal of Pharmaceutical Analysis (2025), pp. 101248-101248
Open Access
A review of the current trends in computational approaches in drug design and metabolism
Russell B. O. Ouma, Silas M. Ngari, Joshua K. Kibet
Deleted Journal (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 2
Russell B. O. Ouma, Silas M. Ngari, Joshua K. Kibet
Deleted Journal (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 2
The role of JNK signaling pathway in organ fibrosis
Zhouhui Yao, Yandan Lu, Pingping Wang, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 2
Zhouhui Yao, Yandan Lu, Pingping Wang, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 2
SurfDock is a surface-informed diffusion generative model for reliable and accurate protein–ligand complex prediction
Duanhua Cao, Mingan Chen, Runze Zhang, et al.
Nature Methods (2024)
Closed Access | Times Cited: 2
Duanhua Cao, Mingan Chen, Runze Zhang, et al.
Nature Methods (2024)
Closed Access | Times Cited: 2
Combined usage of ligand- and structure-based virtual screening in the artificial intelligence era
Jiyan Dai, Ziyi Zhou, Yanru Zhao, et al.
European Journal of Medicinal Chemistry (2024) Vol. 283, pp. 117162-117162
Closed Access | Times Cited: 2
Jiyan Dai, Ziyi Zhou, Yanru Zhao, et al.
European Journal of Medicinal Chemistry (2024) Vol. 283, pp. 117162-117162
Closed Access | Times Cited: 2
Trends in Research on AI-aided drug discovery from 2009 to 2023: a 15-year Bibliometric Analysis
Wenshuo Jiang, Zhigang Zhao
Intelligent Pharmacy (2024)
Open Access | Times Cited: 1
Wenshuo Jiang, Zhigang Zhao
Intelligent Pharmacy (2024)
Open Access | Times Cited: 1
Deep Learning in Bioinformatics
A.G. Cioletti, Frederico Chaves Carvalho, Lucas Moraes dos Santos, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 137-168
Closed Access | Times Cited: 1
A.G. Cioletti, Frederico Chaves Carvalho, Lucas Moraes dos Santos, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 137-168
Closed Access | Times Cited: 1
Advancing plant biology through deep learning-powered natural language processing
Shuang Peng, Loïc Rajjou
Plant Cell Reports (2024) Vol. 43, Iss. 8
Closed Access
Shuang Peng, Loïc Rajjou
Plant Cell Reports (2024) Vol. 43, Iss. 8
Closed Access
OpenDock: A pytorch-based open-source framework for protein-ligand docking and modelling
Qiuyue Hu, Zechen Wang, Jintao Meng, et al.
Bioinformatics (2024) Vol. 40, Iss. 11
Open Access
Qiuyue Hu, Zechen Wang, Jintao Meng, et al.
Bioinformatics (2024) Vol. 40, Iss. 11
Open Access