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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:

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications
Anthony Marchand, Alexandra Van Hall‐Beauvais, Bruno E. Correia
Current Opinion in Structural Biology (2022) Vol. 74, pp. 102370-102370
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

De novo design of protein interactions with learned surface fingerprints
Pablo Gaínza, Sarah Wehrle, Alexandra Van Hall‐Beauvais, et al.
Nature (2023) Vol. 617, Iss. 7959, pp. 176-184
Open Access | Times Cited: 121
Protein–protein interaction prediction with deep learning: A comprehensive review
Farzan Soleymani, Eric Paquet, Herna L. Viktor, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 5316-5341
Open Access | Times Cited: 102
De novo protein design—From new structures to programmable functions
Tanja Kortemme
Cell (2024) Vol. 187, Iss. 3, pp. 526-544
Open Access | Times Cited: 90
De novo protein design by inversion of the AlphaFold structure prediction network
Casper A. Goverde, Benedict Wolf, Hamed Khakzad, et al.
Protein Science (2023) Vol. 32, Iss. 6
Open Access | Times Cited: 51
Opportunities and challenges in design and optimization of protein function
Dina Listov, Casper A. Goverde, Bruno E. Correia, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 25, Iss. 8, pp. 639-653
Closed Access | Times Cited: 45
Targeting protein–ligand neosurfaces with a generalizable deep learning tool
Anthony Marchand, Stephen Buckley, Arne Schneuing, et al.
Nature (2025)
Open Access | Times Cited: 5
Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens
Federica Guarra, Giorgio Colombo
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 16, pp. 5315-5333
Open Access | Times Cited: 36
Deploying synthetic coevolution and machine learning to engineer protein-protein interactions
Aerin Yang, Kevin M. Jude, Ben Lai, et al.
Science (2023) Vol. 381, Iss. 6656
Open Access | Times Cited: 24
Deep learning for advancing peptide drug development: Tools and methods in structure prediction and design
Xinyi Wu, Huitian Lin, Renren Bai, et al.
European Journal of Medicinal Chemistry (2024) Vol. 268, pp. 116262-116262
Closed Access | Times Cited: 13
Integrating Dynamic Network Analysis with AI for Enhanced Epitope Prediction in PD-L1:Affibody Interactions
Diego E. B. Gomes, Byeongseon Yang, Rosario Vanella, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 34, pp. 23842-23853
Open Access | Times Cited: 8
Substrate recognition principles for the PP2A-B55 protein phosphatase
Thomas Kruse, Dimitriya H. Garvanska, Julia K. Varga, et al.
Science Advances (2024) Vol. 10, Iss. 40
Open Access | Times Cited: 7
De novo design of mini-protein binders broadly neutralizing Clostridioides difficile toxin B variants
Xinchen Lv, Yuanyuan Zhang, Ke Sun, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Structure-Based De Novo Design for the Discovery of Miniprotein Inhibitors Targeting Oncogenic Mutant BRAF
Jae Min Ham, Myeongbin Kim, Tae Ho Kim, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 10, pp. 5535-5535
Open Access | Times Cited: 4
Integrating Molecular Dynamics and Machine Learning Algorithms to Predict the Functional Profile of Kinase Ligands
Elena Frasnetti, Ivan Cucchi, Silvia Pavoni, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 20, pp. 9209-9229
Closed Access | Times Cited: 4
Target-conditioned diffusion generates potent TNFR superfamily antagonists and agonists
Matthias Glögl, Aditya Krishnakumar, Robert J. Ragotte, et al.
Science (2024) Vol. 386, Iss. 6726, pp. 1154-1161
Open Access | Times Cited: 4
From peptides to proteins: coiled-coil tetramers to single-chain 4-helix bundles
Elise A. Naudin, Katherine I. Albanese, Abigail J. Smith, et al.
Chemical Science (2022) Vol. 13, Iss. 38, pp. 11330-11340
Open Access | Times Cited: 19
Accelerated Molecular Dynamics for Peptide Folding: Benchmarking Different Combinations of Force Fields and Explicit Solvent Models
Crescenzo Coppa, Andrea Bazzoli, Maral Barkhordari, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 10, pp. 3030-3042
Open Access | Times Cited: 11
Computational design of dynamic receptor—peptide signaling complexes applied to chemotaxis
Jefferson Roberts, Aurélien Oggier, Andreas Füglistaler, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Molecular surfaces modeling: Advancements in deep learning for molecular interactions and predictions
Renjie Xia, Wei Li, Yi Cheng, et al.
Biochemical and Biophysical Research Communications (2025), pp. 151799-151799
Closed Access
Design of nanobody targeting SARS-CoV-2 spike glycoprotein using CDR-grafting assisted by molecular simulation and machine learning
Matheus Ferraz, Wenny Camilla dos Santos Adan, Tayná Evily de Lima, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 4, pp. e1012921-e1012921
Open Access
Integrating Dynamic Network Analysis with AI for Enhanced Epitope Prediction in PD-L1:Affibody Interactions
Diego E. B. Gomes, Byeongseon Yang, Rosario Vanella, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Structure‐based computational design of antibody mimetics: challenges and perspectives
Elton José Ferreira Chaves, Danilo F. Côelho, Carlos Cruz, et al.
FEBS Open Bio (2024)
Open Access | Times Cited: 3
In silico optimization of peptides that inhibit Wnt/β-catenin signaling
Minami Fujita, Keisuke Tsuchiya, Takashi Kurohara, et al.
Bioorganic & Medicinal Chemistry (2023) Vol. 84, pp. 117264-117264
Closed Access | Times Cited: 8
Growing ecosystem of deep learning methods for modeling protein–protein interactions
Julia R. Rogers, Gergő Nikolényi, Mohammed AlQuraishi
Protein Engineering Design and Selection (2023) Vol. 36
Open Access | Times Cited: 7
Machine learning for <i>in silico</i> protein research
Jiahui Zhang
Acta Physica Sinica (2024) Vol. 73, Iss. 6, pp. 069301-069301
Open Access | Times Cited: 2
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