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:

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: 48

Showing 1-25 of 48 citing articles:

Accurate structure prediction of biomolecular interactions with AlphaFold 3
Josh Abramson, Jonas Adler, Jack Dunger, et al.
Nature (2024) Vol. 630, Iss. 8016, pp. 493-500
Open Access | Times Cited: 2712

Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 63

Structure prediction of protein-ligand complexes from sequence information with Umol
Patrick Bryant, Atharva Kelkar, Andrea Guljas, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 26

Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 11

Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency
C.S. Wang, Yannan Qu, Zhangzhi Peng, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 9

PLINDER: The protein-ligand interactions dataset and evaluation resource
Janani Durairaj, Yusuf Adeshina, Zhonglin Cao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 9

Protenix - Advancing Structure Prediction Through a Comprehensive AlphaFold3 Reproduction
Xuan-Long Chen, Yuxuan Zhang, Changli Lü, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1

Toward the Prediction of Binding Events in Very Flexible, Allosteric, Multidomain Proteins
Andrea Basciu, Mohd Athar, Han Kurt, et al.
Journal of Chemical Information and Modeling (2025)
Open Access | Times Cited: 1

Computational and bioinformatics tools for understanding disease mechanisms
Mohd Athar, Anu Manhas, Nisarg Rana, et al.
Biocell (2024) Vol. 48, Iss. 6, pp. 935-944
Open Access | Times Cited: 5

Structure-Based Drug Design with a Deep Hierarchical Generative Model
Jesse A. Weller, Remo Rohs
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6450-6463
Open Access | Times Cited: 5

Predicting protein conformational motions using energetic frustration analysis and AlphaFold2
Xingyue Guan, Qian-Yuan Tang, Weitong Ren, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 35
Closed Access | Times Cited: 5

Diffusion Models in De Novo Drug Design
Amira A. Alakhdar, Barnabás Póczos, Newell R. Washburn
Journal of Chemical Information and Modeling (2024)
Open Access | Times Cited: 5

Alchemical Transformations and Beyond: Recent Advances and Real-World Applications of Free Energy Calculations in Drug Discovery
Runtong Qian, Jing Xue, You Xu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 19, pp. 7214-7237
Closed Access | Times Cited: 5

Computational advances in discovering cryptic pockets for drug discovery
Martijn P. Bemelmans, Zoe Cournia, Kelly L. Damm‐Ganamet, et al.
Current Opinion in Structural Biology (2025) Vol. 90, pp. 102975-102975
Open Access

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

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

Protein ligand structure prediction: From empirical to deep learning approaches
Guangfeng Zhou, Frank DiMaio
Current Opinion in Structural Biology (2025) Vol. 91, pp. 102998-102998
Closed Access

Physics-Inspired Accuracy Estimator for Model-Docked Ligand Complexes
Byeong‐Soo Bae, Jin Sun Choi, Chaok Seok, et al.
Journal of Chemical Theory and Computation (2025)
Open Access

The Need for Continuing Blinded Pose- and Activity Prediction Benchmarks
Christian Krämer, John D. Chodera, Kelly L. Damm‐Ganamet, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

Dynamics-based drug discovery by time-resolved cryo-EM
Youdong Mao
Current Opinion in Structural Biology (2025) Vol. 91, pp. 103001-103001
Open Access

Recent advances in AI-driven protein-ligand interaction predictions
Jaemin Sim, Dongwoo Kim, Bomin Kim, et al.
Current Opinion in Structural Biology (2025) Vol. 92, pp. 103020-103020
Open Access

Machine-learning prediction of facet-dependent CO coverage on Cu electrocatalysts
Shanglin Wu, Shisheng Zheng, Wentao Zhang, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 1
Open Access

Artificial Intelligence: A New Tool for Structure-Based G Protein-Coupled Receptor Drug Discovery
Jason Chung, Hyunggu Hahn, Emmanuel Flores-Espinoza, et al.
Biomolecules (2025) Vol. 15, Iss. 3, pp. 423-423
Open Access

A comparison of probabilistic generative frameworks for molecular simulations
Richard John, Lukas Herron, Pratyush Tiwary
The Journal of Chemical Physics (2025) Vol. 162, Iss. 11
Closed Access

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