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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:

Data-driven computational protein design
Vincent Frappier, Amy E. Keating
Current Opinion in Structural Biology (2021) Vol. 69, pp. 63-69
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

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: 85
SYNBIP: synthetic binding proteins for research, diagnosis and therapy
Xiaona Wang, Fengcheng Li, Wenqi Qiu, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D560-D570
Open Access | Times Cited: 64
ProT-VAE: Protein Transformer Variational AutoEncoder for Functional Protein Design
Emre Sevgen, Joshua Moller, Adrian Lange, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 25
Material-specific binding peptides empower sustainable innovations in plant health, biocatalysis, medicine and microplastic quantification
Maochao Mao, Leon Ahrens, Julian Luka, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 12, pp. 6445-6510
Open Access | Times Cited: 8
Enhancing computational enzyme design by a maximum entropy strategy
Wen Jun Xie, Mojgan Asadi, Arieh Warshel
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 7
Open Access | Times Cited: 29
Bioprospecting of microbial enzymes: current trends in industry and healthcare
Eswar Rao Tatta, Madangchanok Imchen, Jamseel Moopantakath, et al.
Applied Microbiology and Biotechnology (2022) Vol. 106, Iss. 5-6, pp. 1813-1835
Closed Access | Times Cited: 26
Accelerating therapeutic protein design with computational approaches toward the clinical stage
Zhidong Chen, Xinpei Wang, Xu Chen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2909-2926
Open Access | Times Cited: 17
Key interaction networks: Identifying evolutionarily conserved non‐covalent interaction networks across protein families
Dariia Yehorova, Rory Crean, Peter M. Kasson, et al.
Protein Science (2024) Vol. 33, Iss. 3
Open Access | Times Cited: 5
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
Deep-learning-based design of synthetic orthologs of SH3 signaling domains
Xinran Lian, Nikša Praljak, Subu Subramanian, et al.
Cell Systems (2024) Vol. 15, Iss. 8, pp. 725-737.e7
Open Access | Times Cited: 3
Structural and computational design of a SARS-CoV-2 spike antigen with improved expression and immunogenicity
James A. Williams, Marco Biancucci, Laura N. Lessen, et al.
Science Advances (2023) Vol. 9, Iss. 23
Open Access | Times Cited: 10
Efficient Exploration of Sequence Space by Sequence-Guided Protein Engineering and Design
Ben E. Clifton, Dan Kozome, Paola Laurino
Biochemistry (2022) Vol. 62, Iss. 2, pp. 210-220
Open Access | Times Cited: 15
Data-driven strategies for the computational design of enzyme thermal stability: trends, perspectives, and prospects
Zhixin Dou, Yuqing Sun, Xukai Jiang, et al.
Acta Biochimica et Biophysica Sinica (2023) Vol. 55, Iss. 3, pp. 343-355
Open Access | Times Cited: 9
Towards de novo design of transmembrane α-helical assemblies using structural modelling and molecular dynamics simulation
Ai Niitsu, Yuji Sugita
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 5, pp. 3595-3606
Open Access | Times Cited: 8
Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability
Jonathan Parkinson, Wei Wang
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4589-4601
Open Access | Times Cited: 8
FLIGHTED: Inferring Fitness Landscapes from Noisy High-Throughput Experimental Data
Vikram Sundar, Boqiang Tu, Lindsey Guan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
What Have We Learned from Design of Function in Large Proteins?
Olga Khersonsky, Sarel J. Fleishman
BioDesign Research (2022) Vol. 2022
Open Access | Times Cited: 14
The Sabatier principle as a tool for discovery and engineering of industrial enzymes
Jeppe Kari, Kay Schaller, Gustavo Avelar Molina, et al.
Current Opinion in Biotechnology (2022) Vol. 78, pp. 102843-102843
Open Access | Times Cited: 14
Protein engineering via sequence-performance mapping
Adam McConnell, Benjamin J. Hackel
Cell Systems (2023) Vol. 14, Iss. 8, pp. 656-666
Closed Access | Times Cited: 7
ProtWave-VAE: Integrating Autoregressive Sampling with Latent-Based Inference for Data-Driven Protein Design
Nikša Praljak, Xinran Lian, Rama Ranganathan, et al.
ACS Synthetic Biology (2023) Vol. 12, Iss. 12, pp. 3544-3561
Open Access | Times Cited: 6
Neural network‐derived Potts models for structure‐based protein design using backbone atomic coordinates and tertiary motifs
Alex J. Li, Mindren Lu, Israel Desta, et al.
Protein Science (2022) Vol. 32, Iss. 2
Open Access | Times Cited: 11
Deep learning-enabled design of synthetic orthologs of a signaling protein
Xinran Lian, Nikša Praljak, Subu Subramanian, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 10
Factors affecting enzyme activity and design
Lennie K.Y. Cheung, Ashley D. Sanders, Aicha Asma Houfani, et al.
Elsevier eBooks (2024), pp. 17-57
Closed Access | Times Cited: 1
Engineering Proteins Containing Noncanonical Amino Acids on the Yeast Surface
Rebecca L. Hershman, Arlinda Rezhdo, Jessica T. Stieglitz, et al.
Methods in molecular biology (2022), pp. 491-559
Closed Access | Times Cited: 8
Computational Protein Design - Where it goes?
Binbin Xu, Yingjun Chen, Weiwei Xue
Current Medicinal Chemistry (2023) Vol. 31, Iss. 20, pp. 2841-2854
Closed Access | Times Cited: 4
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