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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:

Protein sequence design by explicit energy landscape optimization
Christoffer Norn, Basile I. M. Wicky, David Juergens, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

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: 222
Deep Learning in Protein Structural Modeling and Design
Wenhao Gao, Sai Pooja Mahajan, Jeremias Sulam, et al.
Patterns (2020) Vol. 1, Iss. 9, pp. 100142-100142
Open Access | Times Cited: 179
Recent advances in de novo protein design: Principles, methods, and applications
Xingjie Pan, Tanja Kortemme
Journal of Biological Chemistry (2021) Vol. 296, pp. 100558-100558
Open Access | Times Cited: 171
How directed evolution reshapes the energy landscape in an enzyme to boost catalysis
Renee Otten, R.A.P. Padua, H. Adrian Bunzel, et al.
Science (2020) Vol. 370, Iss. 6523, pp. 1442-1446
Open Access | Times Cited: 140
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: 47
Deep learning techniques have significantly impacted protein structure prediction and protein design
Robin Pearce, Yang Zhang
Current Opinion in Structural Biology (2021) Vol. 68, pp. 194-207
Open Access | Times Cited: 97
Designing better enzymes: Insights from directed evolution
H. Adrian Bunzel, J. L. Ross Anderson, Adrian J. Mulholland
Current Opinion in Structural Biology (2021) Vol. 67, pp. 212-218
Open Access | Times Cited: 70
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: 8
Unlocking the potential of enzyme engineering via rational computational design strategies
Lei Zhou, Chunmeng Tao, Xiaolin Shen, et al.
Biotechnology Advances (2024) Vol. 73, pp. 108376-108376
Closed Access | Times Cited: 7
Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model
Qiaozhen Meng, Fei Guo, Jijun Tang
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 17
Protein Design with Deep Learning
Marianne Defresne, Sophie Barbe, Thomas Schiex
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 21, pp. 11741-11741
Open Access | Times Cited: 38
Fast activation maximization for molecular sequence design
Johannes Linder, Georg Seelig
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 37
Design of proteins presenting discontinuous functional sites using deep learning
Doug Tischer, Sidney Lyayuga Lisanza, Jue Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 37
ProRefiner: an entropy-based refining strategy for inverse protein folding with global graph attention
Xinyi Zhou, Guangyong Chen, Junjie Ye, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Beyond sequence: Structure-based machine learning
Janani Durairaj, Dick de Ridder, Aalt D. J. van Dijk
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 630-643
Open Access | Times Cited: 13
De novo protein design by inversion of the AlphaFold structure prediction network
Casper A. Goverde, Benedict Wolf, Hamed Khakzad, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 10
Protein Sequence Design by Entropy-based Iterative Refinement
Xinyi Zhou, Guangyong Chen, Junjie Ye, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Protein Manufacture: Protein Design Assisted by Machine Learning from Backbone to Sequence
Man Xu, Yuxuan Luo, Junhao Jiang, et al.
Lecture notes in computer science (2024), pp. 337-346
Closed Access
Improving representations of genomic sequence motifs in convolutional networks with exponential activations
Peter K. Koo, Matt Ploenzke
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
Artificial intelligence-driven design of the assembled major cat allergen Fel d 1 to improve its spatial folding and IgE-reactivity
Wei Zheng, Yifei Xu, Zhiming Hu, et al.
International Immunopharmacology (2024) Vol. 128, pp. 111488-111488
Closed Access
In silico vaccine design for Yersinia enterocolitica: A comprehensive approach to enhanced immunogenicity, efficacy and protection
Munazza Kanwal, Amina Basheer, Muhammad Bilal, et al.
International Immunopharmacology (2024) Vol. 143, pp. 113241-113241
Closed Access
ProTokens: A Machine-Learned Language for Compact and Informative Encoding of Protein 3D Structures
Xiaohan Lin, Zhen‐Yu Chen, Yanheng Li, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Hallucinating structure-conditioned antibody libraries for target-specific binders
Sai Pooja Mahajan, Jeffrey A. Ruffolo, Rahel Frick, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Homology Modeling and Molecular Docking Studies of Selected Substituted Tetradecane on vlsE Borrelia spielmanii
Venu Paritala, Harsha Thummala, Talluri Naga Santosh Mohith
Journal of Molecular Docking (2022) Vol. 2, Iss. 1, pp. 16-28
Open Access | Times Cited: 1
Assessment of AlphaFold structures and optimization methods for virtual screening
Yanfei Peng, Xia Wu, Liang Lin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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