Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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: 37

Showing 1-25 of 37 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: 1915
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: 51
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: 19
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
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
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: 6
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
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
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
GDFold2: A fast and parallelizable protein folding environment with freely defined objective functions
Tianyu Mi, Ningbiao Xiao, Haipeng Gong
Protein Science (2025) Vol. 34, Iss. 2
Open Access
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: 4
PocketGen: Generating Full-Atom Ligand-Binding Protein Pockets
Zaixi Zhang, Wan Xiang Shen, Qi Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
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: 2
Beyond co-expression: pathway discovery for plant pharmaceuticals
Sandesh H Swamidatta, Benjamin R. Lichman
Current Opinion in Biotechnology (2024) Vol. 88, pp. 103147-103147
Open Access | Times Cited: 2
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: 2
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: 2
Modeling protein-small molecule conformational ensembles with ChemNet
Ivan Anishchenko, Yakov Kipnis, Indrek Kalvet, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
GDFold2: a fast and parallelizable protein folding environment with freely defined objective functions
Tianyu Mi, Nan Xiao, Haipeng Gong
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Machine-learning prediction of facet-dependent CO coverage on Cu electrocatalysts
Shanglin Wu, Shisheng Zheng, Wentao Zhang, et al.
(2024)
Open Access | Times Cited: 1
How to make machine learning scoring functions competitive with FEP
Matthew T. Warren, ísak Valsson, Charlotte M. Deane, et al.
(2024)
Open Access | Times Cited: 1
Recognition of Molecular Structure of Phosphonium Salts from the Visual Appearance of Material with Deep Learning Can Reveal Subtle Homologs
Daniil A. Boiko, Daria M. Arkhipova, Valentine P. Ananikov
Small (2024)
Closed Access | Times Cited: 1
Advances and Challenges in Scoring Functions for RNA–Protein Complex Structure Prediction
Chengwei Zeng, Zhuo Chen, Jiaming Gao, et al.
Biomolecules (2024) Vol. 14, Iss. 10, pp. 1245-1245
Open Access | Times Cited: 1
Sifting through the Noise: A Survey of Diffusion Probabilistic Models and Their Applications to Biomolecules
Trevor A. Norton, Debswapna Bhattacharya
Journal of Molecular Biology (2024), pp. 168818-168818
Open Access | Times Cited: 1
Comparative evaluation of methods for the prediction of protein–ligand binding sites
Javier S. Utgés, Geoffrey J. Barton
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top