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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:

AFsample: improving multimer prediction with AlphaFold using massive sampling
Björn Wallner
Bioinformatics (2023) Vol. 39, Iss. 9
Open Access | Times Cited: 87

Showing 1-25 of 87 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: 1977
High-throughput prediction of protein conformational distributions with subsampled AlphaFold2
Gabriel Monteiro da Silva, Jennifer Y. Cui, David C. Dalgarno, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 61
Evaluation of AlphaFold antibody–antigen modeling with implications for improving predictive accuracy
Rui Yin, Brian G. Pierce
Protein Science (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 43
Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment
Marc F. Lensink, Guillaume Brysbaert, Nessim Raouraoua, et al.
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 12, pp. 1658-1683
Open Access | Times Cited: 41
From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2
Hélène Bret, Jinmei Gao, Diego Javier Zea, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 40
CombFold: predicting structures of large protein assemblies using a combinatorial assembly algorithm and AlphaFold2
Ben Shor, Dina Schneidman‐Duhovny
Nature Methods (2024) Vol. 21, Iss. 3, pp. 477-487
Open Access | Times Cited: 30
Sparks of function by de novo protein design
Alexander E. Chu, Tianyu Lu, Po‐Ssu Huang
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 203-215
Closed Access | Times Cited: 27
The power and pitfalls of AlphaFold2 for structure prediction beyond rigid globular proteins
Vinayak Agarwal, Andrew C. McShan
Nature Chemical Biology (2024) Vol. 20, Iss. 8, pp. 950-959
Closed Access | Times Cited: 19
Modelling protein complexes with crosslinking mass spectrometry and deep learning
Kolja Stahl, Robert Warneke, Lorenz Demann, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 19
Predictomes: A classifier-curated database of AlphaFold-modeled protein-protein interactions
E. Schmid, Johannes C. Walter
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 17
Easy and accurate protein structure prediction using ColabFold
Gyuri Kim, Sewon Lee, Eli Levy Karin, et al.
Nature Protocols (2024)
Closed Access | Times Cited: 13
The impact of AI‐based modeling on the accuracy of protein assembly prediction: Insights from CASP15
Burcu Çelet Özden, Andriy Kryshtafovych, Ezgi Karaca
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 12, pp. 1636-1657
Open Access | Times Cited: 21
Modelling protein complexes with crosslinking mass spectrometry and deep learning
Kolja Stahl, Lorenz Demann, Rica Bremenkamp, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 20
DNA-PK controls Apollo’s access to leading-end telomeres
Ceylan Sönmez, Beatrice Toia, Patrik Eickhoff, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. 8, pp. 4313-4327
Open Access | Times Cited: 10
AFsample2: Predicting multiple conformations and ensembles with AlphaFold2
Yogesh Kalakoti, Björn Wallner
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 10
Deep learning for protein structure prediction and design—progress and applications
Jürgen Jänes, Pedro Beltrão
Molecular Systems Biology (2024) Vol. 20, Iss. 3, pp. 162-169
Open Access | Times Cited: 9
Structure prediction of alternative protein conformations
Patrick Bryant, Frank Noé
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer
Ah‐Ram Kim, Yanhui Hu, Aram Comjean, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 8
Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes
Claudio Mirabello, Björn Wallner, Björn Nystedt, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Selecting genes for analysis using historically contingent progress: from RNA changes to protein–protein interactions
Farhaan Lalit, Antony M Jose
Nucleic Acids Research (2025) Vol. 53, Iss. 1
Open Access
Probing Biomolecular Interactions with Paramagnetic Nuclear Magnetic Resonance Spectroscopy
H. Büsch, Muhammad Yasir Ateeque, Florian Taube, et al.
ChemBioChem (2025)
Open Access
AlphaFold and what is next: bridging functional, systems and structural biology
Kacper Szczepski, Łukasz Jaremko
Expert Review of Proteomics (2025)
Closed Access
AlphaFold and Docking Approaches for Antibody–Antigen and Other Targets: Insights From CAPRI Rounds 47–55
Ragul Gowthaman, Minjae Park, Rui Yin, et al.
Proteins Structure Function and Bioinformatics (2025)
Open Access
Physical-aware model accuracy estimation for protein complex using deep learning method
Haodong Wang, Meng Sun, Lei Xie, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access
The Physics-AI Dialogue in Drug Design
Pablo Andrés Vargas-Rosales, Amedeo Caflisch
RSC Medicinal Chemistry (2025)
Open Access
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