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:

Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold, et al.
Current Opinion in Chemical Biology (2021) Vol. 65, pp. 18-27
Open Access | Times Cited: 127

Showing 1-25 of 127 citing articles:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1476

Scaffolding protein functional sites using deep learning
Jue Wang, Sidney Lyayuga Lisanza, David Juergens, et al.
Science (2022) Vol. 377, Iss. 6604, pp. 387-394
Open Access | Times Cited: 295

Learning inverse folding from millions of predicted structures
Chloe Hsu, Robert Verkuil, Jason Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 221

Protein sequence design with a learned potential
Namrata Anand, Raphael R. Eguchi, I.I. Mathews, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 129

Protein language-model embeddings for fast, accurate, and alignment-free protein structure prediction
Konstantin Weißenow, Michael Heinzinger, Burkhard Rost
Structure (2022) Vol. 30, Iss. 8, pp. 1169-1177.e4
Open Access | Times Cited: 97

Machine learning to navigate fitness landscapes for protein engineering
Chase R. Freschlin, Sarah A. Fahlberg, Philip A. Romero
Current Opinion in Biotechnology (2022) Vol. 75, pp. 102713-102713
Open Access | Times Cited: 73

In silico proof of principle of machine learning-based antibody design at unconstrained scale
Rahmad Akbar, Philippe A. Robert, Cédric R. Weber, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 72

Regression Transformer enables concurrent sequence regression and generation for molecular language modelling
Jannis Born, Matteo Manica
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 432-444
Open Access | Times Cited: 65

Machine learning-enabled retrobiosynthesis of molecules
Tianhao Yu, Aashutosh Girish Boob, Michael Volk, et al.
Nature Catalysis (2023) Vol. 6, Iss. 2, pp. 137-151
Closed Access | Times Cited: 61

Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 51

Protein generation with evolutionary diffusion: sequence is all you need
Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 47

Computational scoring and experimental evaluation of enzymes generated by neural networks
Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 19

Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides
Montserrat Goles, Anamaria Sanchez–Daza, Gabriel Cabas-Mora, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 15

Adaptive machine learning for protein engineering
Brian Hie, Kevin Yang
Current Opinion in Structural Biology (2021) Vol. 72, pp. 145-152
Open Access | Times Cited: 84

Deep generative modeling for protein design
Alexey Strokach, Philip M. Kim
Current Opinion in Structural Biology (2021) Vol. 72, pp. 226-236
Open Access | Times Cited: 69

Deep generative models for peptide design
Fangping Wan, Daphne Kontogiorgos-Heintz, César de la Fuente‐Núñez
Digital Discovery (2022) Vol. 1, Iss. 3, pp. 195-208
Open Access | Times Cited: 61

TMbed: transmembrane proteins predicted through language model embeddings
Michael Bernhofer, Burkhard Rost
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 48

Surfing the wave of oxyfunctionalization chemistry by engineering fungal unspecific peroxygenases
Alejandro Beltrán-Nogal, Israel Sánchez‐Moreno, Daniel Méndez‐Sánchez, et al.
Current Opinion in Structural Biology (2022) Vol. 73, pp. 102342-102342
Open Access | Times Cited: 43

Emerging Technologies for Biocatalysis in the Pharmaceutical Industry
Russell D. Lewis, Scott P. France, Carlos A. Martínez
ACS Catalysis (2023) Vol. 13, Iss. 8, pp. 5571-5577
Open Access | Times Cited: 24

Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks
Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 22

Design of synthetic promoters for cyanobacteria with generative deep-learning model
Euijin Seo, Yun‐Nam Choi, Ye Rim Shin, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. 13, pp. 7071-7082
Open Access | Times Cited: 22

Rapid discovery of high-affinity antibodies via massively parallel sequencing, ribosome display and affinity screening
Benjamin T. Porebski, Matthew Balmforth, Gareth J. Browne, et al.
Nature Biomedical Engineering (2023) Vol. 8, Iss. 3, pp. 214-232
Open Access | Times Cited: 22

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

Harnessing the power of artificial intelligence to advance cell therapy
Sara Capponi, Kyle G. Daniels
Immunological Reviews (2023) Vol. 320, Iss. 1, pp. 147-165
Open Access | Times Cited: 19

Data‐Driven Protein Engineering for Improving Catalytic Activity and Selectivity
Yu‐Fei Ao, Mark Dörr, Marian J. Menke, et al.
ChemBioChem (2023) Vol. 25, Iss. 3
Open Access | Times Cited: 19

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