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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:

Accelerated rational PROTAC design via deep learning and molecular simulations
Shuangjia Zheng, Youhai Tan, Zhenyu Wang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 9, pp. 739-748
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

An overview of PROTACs: a promising drug discovery paradigm
Liu Zi, Mingxing Hu, Yang Yu, et al.
Molecular Biomedicine (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 148
Advancing Strategies for Proteolysis-Targeting Chimera Design
Minglei Li, Ying Zhi, Bo Liu, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 4, pp. 2308-2329
Closed Access | Times Cited: 46
PocketFlow is a data-and-knowledge-driven structure-based molecular generative model
Yuanyuan Jiang, Guo Zhang, Jing You, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 326-337
Open Access | Times Cited: 26
Characteristic roadmap of linker governs the rational design of PROTACs
Yawen Dong, Tingting Ma, Ting Xu, et al.
Acta Pharmaceutica Sinica B (2024) Vol. 14, Iss. 10, pp. 4266-4295
Open Access | Times Cited: 22
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
Targeted protein degradation in cancers: Orthodox PROTACs and beyond
Jin Li, Xinxin Chen, Aiping Lü, et al.
The Innovation (2023) Vol. 4, Iss. 3, pp. 100413-100413
Open Access | Times Cited: 35
Current advances and development strategies of orally bioavailable PROTACs
Shenxin Zeng, Yingqiao Ye, Heye Xia, et al.
European Journal of Medicinal Chemistry (2023) Vol. 261, pp. 115793-115793
Closed Access | Times Cited: 35
Biophysical and Computational Approaches to Study Ternary Complexes: A ‘Cooperative Relationship’ to Rationalize Targeted Protein Degradation
Jake A. Ward, Carles Perez‐Lopez, Cristina Mayor‐Ruiz
ChemBioChem (2023) Vol. 24, Iss. 10
Open Access | Times Cited: 33
Research in the Field of Drug Design and Development
Grażyna Biała, Ewa Kędzierska, Marta Kruk-Słomka, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 9, pp. 1283-1283
Open Access | Times Cited: 27
Sample efficient reinforcement learning with active learning for molecular design
Michael Dodds, Jeff Guo, Thomas Löhr, et al.
Chemical Science (2024) Vol. 15, Iss. 11, pp. 4146-4160
Open Access | Times Cited: 11
PROTACable Is an Integrative Computational Pipeline of 3-D Modeling and Deep Learning To Automate the De Novo Design of PROTACs
Hazem Mslati, Francesco Gentile, Mohit Pandey, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3034-3046
Open Access | Times Cited: 9
QSARtuna: An Automated QSAR Modeling Platform for Molecular Property Prediction in Drug Design
Lewis Mervin, Alexey Voronov, Mikhail A. Kabeshov, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5365-5374
Open Access | Times Cited: 8
PROTAC-induced Protein Structural Dynamics in Targeted Protein Degradation
Kingsley Y Wu, Ta I Hung, Chia‐en A. Chang
(2025)
Open Access | Times Cited: 1
Quantum Mechanics-Based Ranking of Predicted Proteolysis Targeting Chimeras-Mediated Ternary Complexes
Stefania Monteleone, Iñaki Morao, Dmitri G. Fedorov, et al.
ACS Medicinal Chemistry Letters (2025) Vol. 16, Iss. 3, pp. 420-427
Closed Access | Times Cited: 1
DRlinker: Deep Reinforcement Learning for Optimization in Fragment Linking Design
Youhai Tan, Lingxue Dai, Weifeng Huang, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 5907-5917
Closed Access | Times Cited: 34
3D based generative PROTAC linker design with reinforcement learning
Baiqing Li, Ting Ran, Hongming Chen
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 18
FFLOM: A Flow-Based Autoregressive Model for Fragment-to-Lead Optimization
Jieyu Jin, Dong Wang, Guqin Shi, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 15, pp. 10808-10823
Closed Access | Times Cited: 17
Revolutionizing Drug Targeting Strategies: Integrating Artificial Intelligence and Structure-Based Methods in PROTAC Development
Mohd Danishuddin, Mohammad Sarwar Jamal, Kyoung Seob Song, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 12, pp. 1649-1649
Open Access | Times Cited: 17
PROTAC-DB 3.0: an updated database of PROTACs with extended pharmacokinetic parameters
Jingxuan Ge, Shimeng Li, Gaoqi Weng, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D1510-D1515
Open Access | Times Cited: 7
DiffDec: Structure-Aware Scaffold Decoration with an End-to-End Diffusion Model
Junjie Xie, Sheng Chen, Jinping Lei, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 7, pp. 2554-2564
Open Access | Times Cited: 6
AlphaFold-Multimer struggles in predicting PROTAC-mediated protein-protein interfaces
Gilberto P. Pereira, Corentin Gouzien, Paulo C. T. Souza, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Development of PROTACs using computational approaches
Jingxuan Ge, Chang-Yu Hsieh, Meijing Fang, et al.
Trends in Pharmacological Sciences (2024)
Closed Access | Times Cited: 6
Fragment Linker Prediction Using the Deep Encoder-Decoder Network for PROTACs Drug Design
Chien‐Ting Kao, Chieh-Te Lin, Cheng-Li Chou, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 2918-2927
Open Access | Times Cited: 14
Artificial intelligence in molecular de novo design: Integration with experiment
Jon Paul Janet, Lewis Mervin, Ola Engkvist
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102575-102575
Open Access | Times Cited: 13
Chemically induced degradation of epigenetic targets
Md Kabir, Xufen Yu, H. Ümit Kanıskan, et al.
Chemical Society Reviews (2023) Vol. 52, Iss. 13, pp. 4313-4342
Open Access | Times Cited: 13
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