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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:

Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies
Cyril Malbranke, David Bikard, Simona Cocco, et al.
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102571-102571
Open Access | Times Cited: 21

Showing 21 citing articles:

Machine learning for functional protein design
Pascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 216-228
Closed Access | Times Cited: 66
Stabilization challenges and aggregation in protein-based therapeutics in the pharmaceutical industry
Mahdie Rahban, Faizan Ahmad, Mieczyslaw A. Piatyszek, et al.
RSC Advances (2023) Vol. 13, Iss. 51, pp. 35947-35963
Open Access | Times Cited: 24
Is Novelty Predictable?
Clara Fannjiang, Jennifer Listgarten
Cold Spring Harbor Perspectives in Biology (2023) Vol. 16, Iss. 2, pp. a041469-a041469
Closed Access | Times Cited: 11
Harnessing generative AI to decode enzyme catalysis and evolution for enhanced engineering
Wen Jun Xie, Arieh Warshel
National Science Review (2023) Vol. 10, Iss. 12
Open Access | Times Cited: 11
Classifying protein kinase conformations with machine learning
Ivan Reveguk, Thomas Simonson
Protein Science (2024) Vol. 33, Iss. 4
Closed Access | Times Cited: 3
Cytochrome P450 Enzyme Design by Constraining the Catalytic Pocket in a Diffusion Model
Qian Wang, Xiaonan Liu, Hejian Zhang, et al.
Research (2024) Vol. 7
Open Access | Times Cited: 3
AI-Predicted Protein Deformation Encodes Energy Landscape Perturbation
J. Michael McBride, Tsvi Tlusty
Physical Review Letters (2024) Vol. 133, Iss. 9
Closed Access | Times Cited: 3
AI-predicted protein deformation encodes energy landscape perturbation
J. Michael McBride, Tsvi Tlusty
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
Minimal epistatic networks from integrated sequence and mutational protein data
Simona Cocco, Lorenzo Posani, Rémi Monasson
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Advancing microbial production through artificial intelligence-aided biology
Xinyu Gong, Jianli Zhang, Qi Gan, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108399-108399
Closed Access | Times Cited: 1
Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment
Cyril Malbranke, William Rostain, Florence Depardieu, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 11, pp. e1011621-e1011621
Open Access | Times Cited: 4
Funneling modulatory peptide design with generative models: Discovery and characterization of disruptors of calcineurin protein-protein interactions
Jérôme Tubiana, Lucia Adriana-Lifshits, Michael Nissan, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 2, pp. e1010874-e1010874
Open Access | Times Cited: 4
Harnessing Generative AI to Decode Enzyme Catalysis and Evolution for Enhanced Engineering
Wen Jun Xie, Arieh Warshel
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Interpretable Machine Learning of Amino Acid Patterns in Proteins: A Statistical Ensemble Approach
Anna Braghetto, Enzo Orlandini, Marco Baiesi
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 17, pp. 6011-6022
Open Access | Times Cited: 3
Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment
Cyril Malbranke, William Rostain, Florence Depardieu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Cytochrome P450 Enzyme Design by Constraining Catalytic Pocket in Diffusion model
Qian Wang, Xiaonan Liu, Hejian Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Progress in Protein Pre-training Models Integrated with Structural Knowledge
Tian-Yi Tang, Yi‐Ming Xiong, R. Zhang, et al.
Acta Physica Sinica (2024) Vol. 73, Iss. 18, pp. 188701-188701
Open Access
How deep can we decipher protein evolution with deep learning models
Xiaozhi Fu
Patterns (2024) Vol. 5, Iss. 8, pp. 101043-101043
Open Access
Recent Advances in the Integration of Protein Mechanics and Machine Learning
Yen‐Lin Chen, Shu‐Wei Chang
Extreme Mechanics Letters (2024), pp. 102236-102236
Closed Access
A Study of the Methane Oxidation Mechanism and Reaction Pathways Using Reactive Molecular Simulation and Nonlinear Manifold Learning
Jiang Wang, Jiaxuan Tang, Fuye Chen
ACS Omega (2024) Vol. 9, Iss. 43, pp. 43894-43907
Open Access
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
Timothy J O'Donnell, Chakravarthi Kanduri, Giulio Isacchini, et al.
Cell Systems (2024) Vol. 15, Iss. 12, pp. 1168-1189
Open Access
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