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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:

Classification and prediction of protein–protein interaction interface using machine learning algorithm
Subhrangshu Das, Saikat Chakrabarti
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Molecular Glue Discovery: Current and Future Approaches
Jeffrey A. Dewey, Clémence Delalande, Saara‐Anne Azizi, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 14, pp. 9278-9296
Open Access | Times Cited: 44
Machine learning on protein–protein interaction prediction: models, challenges and trends
Tao Tang, Xiaocai Zhang, Yuansheng Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 36
Can AlphaFold’s breakthrough in protein structure help decode the fundamental principles of adaptive cellular immunity?
Benjamin McMaster, Christopher J. Thorpe, Graham S. Ogg, et al.
Nature Methods (2024) Vol. 21, Iss. 5, pp. 766-776
Closed Access | Times Cited: 13
Structure-Based Approaches for Protein–Protein Interaction Prediction Using Machine Learning and Deep Learning
Despoina P. Kiouri, Georgios Batsis, Christos T. Chasapis
Biomolecules (2025) Vol. 15, Iss. 1, pp. 141-141
Open Access | Times Cited: 1
Recent advances in predicting protein–protein interactions with the aid of artificial intelligence algorithms
Shiwei Li, Sanan Wu, Lin Wang, et al.
Current Opinion in Structural Biology (2022) Vol. 73, pp. 102344-102344
Closed Access | Times Cited: 35
Native or Non-Native Protein–Protein Docking Models? Molecular Dynamics to the Rescue
Zuzana Jandová, Attilio V. Vargiu, Alexandre M. J. J. Bonvin
Journal of Chemical Theory and Computation (2021) Vol. 17, Iss. 9, pp. 5944-5954
Open Access | Times Cited: 34
Protein–Protein Docking: Past, Present, and Future
Sharon Sunny, P. B. Jayaraj
The Protein Journal (2021) Vol. 41, Iss. 1, pp. 1-26
Closed Access | Times Cited: 33
HN-PPISP: a hybrid network based on MLP-Mixer for protein–protein interaction site prediction
Yan Kang, Yulong Xu, Xinchao Wang, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 25
Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model
Olivér M. Balogh, Bettina Benczik, András Horváth, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 22
Recent Advances in Computer-aided Virtual Screening and Docking Optimization for Aptamer
Yijie Liu, Jie Yang, Meilun Chen, et al.
Current Topics in Medicinal Chemistry (2023) Vol. 23, Iss. 20, pp. 1985-2000
Closed Access | Times Cited: 15
Sequence-Based Prediction of Plant Allergenic Proteins: Machine Learning Classification Approach
Miroslava Nedyalkova, Mahdi Vasighi, Amirreza Azmoon, et al.
ACS Omega (2023) Vol. 8, Iss. 4, pp. 3698-3704
Open Access | Times Cited: 13
Evaluating protein binding interfaces with transformer networks
Vitalii Stebliankin, Azam Shirali, Prabin Baral, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 9, pp. 1042-1053
Closed Access | Times Cited: 13
A comprehensive survey of scoring functions for protein docking models
Azam Shirali, Vitalii Stebliankin, Ukesh Karki, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology
David B. Thomas, C. Fernández, Reza Haydarlou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Class-Balanced Protein Interaction Site Prediction Using Global and Local Features with XGBoost and Deep Learning
Bharath C. Kulkarni, B.V.S.T. Sai, Varun Kolagad, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Structure-Based Deep Learning Framework for Modeling Human–Gut Bacterial Protein Interactions
Despoina P. Kiouri, Georgios Batsis, Christos T. Chasapis
Proteomes (2025) Vol. 13, Iss. 1, pp. 10-10
Open Access
Main methods and tools for peptide development based on protein-protein interactions (PPIs).
Javiera Baeza, Mauricio Bedoya, Pablo Cruz, et al.
Biochemical and Biophysical Research Communications (2025), pp. 151623-151623
Closed Access
Next-Generation Computational Approaches for Biological Network Analysis
Hamza Ali Mari, Maham Taqi, Abrar Ahmed Rattar, et al.
BioMed Target Journal (2025), pp. 3-3
Open Access
Network pharmacology and AI in cancer research uncovering biomarkers and therapeutic targets for RALGDS mutations
S. Mohammed Zaidh, Hariharan Thirumalai Vengateswaran, Mohammad Habeeb, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Protein–protein interaction prediction methods: from docking-based to AI-based approaches
Yuko Tsuchiya, Yu Yamamori, Kentaro Tomii
Biophysical Reviews (2022) Vol. 14, Iss. 6, pp. 1341-1348
Open Access | Times Cited: 21
Protein–protein interaction and non-interaction predictions using gene sequence natural vector
Nan Zhao, Maji Zhuo, Kun Tian, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 20
Protein Function Analysis through Machine Learning
Chris Avery, John A. Patterson, Tyler Grear, et al.
Biomolecules (2022) Vol. 12, Iss. 9, pp. 1246-1246
Open Access | Times Cited: 20
Classifying Protein–Protein Binding Affinity with Free-Energy Calculations and Machine Learning Approaches
Emma Goulard Coderc de Lacam, Benoı̂t Roux, Christophe Chipot
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 1081-1091
Open Access | Times Cited: 4
Influenza A virus hemagglutinin: from classical fusion inhibitors to proteolysis targeting chimera-based strategies in antiviral drug discovery
Francisco Javier Hermoso-Pinilla, Aitor Valdivia, María‐José Camarasa, et al.
(2024), pp. 85-116
Open Access | Times Cited: 4
AB-Amy: machine learning aided Amyloidogenic risk prediction of therapeutic antibody light chains
Yuwei Zhou, Ziru Huang, Yushu Gou, et al.
Antibody Therapeutics (2023) Vol. 6, Iss. 3, pp. 147-156
Open Access | Times Cited: 9
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