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-Guided Library Design Cycle for Directed Evolution of Enzymes: The Effects of Training Data Composition on Sequence Space Exploration
Yutaka Saitô, Misaki Oikawa, Takumi Sato, et al.
ACS Catalysis (2021) Vol. 11, Iss. 23, pp. 14615-14624
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Cutting-edge Computational Approaches in Enzyme Design and Activity Enhancement
Ruobin Sun, Dan Wu, Pengcheng Chen, et al.
Biochemical Engineering Journal (2024) Vol. 212, pp. 109510-109510
Closed Access | Times Cited: 2

Data-driven enzyme engineering to identify function-enhancing enzymes
Yaoyukun Jiang, Xinchun Ran, Zhongyue Yang
Protein Engineering Design and Selection (2022) Vol. 36
Open Access | Times Cited: 14

Protein Fitness Prediction Is Impacted by the Interplay of Language Models, Ensemble Learning, and Sampling Methods
Mehrsa Mardikoraem, Daniel Woldring
Pharmaceutics (2023) Vol. 15, Iss. 5, pp. 1337-1337
Open Access | Times Cited: 7

Machine-Learning-Guided Engineering of an NADH-Dependent 7β-Hydroxysteroid Dehydrogenase for Economic Synthesis of Ursodeoxycholic Acid
Mu-Qiang Wang, Zhi‐Neng You, Bing-Yi Yang, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 49, pp. 19672-19681
Closed Access | Times Cited: 5

ThermoLink: Bridging disulfide bonds and enzyme thermostability through database construction and machine learning prediction
Ran Xu, Qican Pan, Guoliang Zhu, et al.
Protein Science (2024) Vol. 33, Iss. 9
Closed Access | Times Cited: 1

Design of Cyborg Proteins by Loop Region Replacement with Oligo(ethylene glycol): Exploring Suitable Mutations for Cyborg Protein Construction Using Machine Learning
Wijak Yospanya, Akari Matsumura, Yukihiro Imasato, et al.
Bulletin of the Chemical Society of Japan (2024) Vol. 97, Iss. 9
Open Access | Times Cited: 1

Protein representations: Encoding biological information for machine learning in biocatalysis
David Harding-Larsen, Jonathan Funk, Niklas Gesmar Madsen, et al.
Biotechnology Advances (2024) Vol. 77, pp. 108459-108459
Closed Access | Times Cited: 1

Protein Fitness Prediction is Impacted by the Interplay of Language Models, Ensemble Learning, and Sampling Methods
Mehrsa Mardikoraem, Daniel Woldring
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4

Recent advances in screening and identification of PET-degrading enzymes
Shengwei Sun
Environmental Reviews (2024) Vol. 32, Iss. 3, pp. 294-314
Closed Access

The Impact of Metagenomics on Biocatalysis
Bethany N. Hogg, Christian Schnepel, James Finnigan, et al.
Angewandte Chemie (2024) Vol. 136, Iss. 21
Open Access

Machine learning-guided multi-site combinatorial mutagenesis enhances the thermostability of pectin lyase
Zhihui Zhang, Zhixuan Li, Manli Yang, et al.
International Journal of Biological Macromolecules (2024) Vol. 277, pp. 134530-134530
Closed Access

Protein Language Models in Directed Evolution
Russell G. Maguire, Kotryna Bloznelyte, Fikayo Adepoju, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Repurposing Amide Bond-Forming Enzymes for Non-native Protein Modification
Tong Zhu, Bian Wu
ACS Catalysis (2024) Vol. 14, Iss. 21, pp. 15811-15826
Closed Access

Machine learning-guided engineering of phosphocholine cytidylyltransferase for improved activity and halotolerance in citicoline production
Cheng Zheng, Qingshi Wen, Rongxin Miao, et al.
Food Bioscience (2024), pp. 105495-105495
Closed Access

Fitness translocation: improving variant effect prediction with biologically-grounded data augmentation
Adrien Mialland, Shusei Fukunaga, Riku Katsuki, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Microbial enzymes used in food industry
Pedro Fernandes, Filipe Carvalho
Elsevier eBooks (2023), pp. 445-496
Closed Access | Times Cited: 1

Struktur‐ und Daten‐basiertes Protein Engineering von Transaminasen zur Verbesserung von Aktivität und Stereoselektivität
Yu‐Fei Ao, Shuxin Pei, Chao Xiang, et al.
Angewandte Chemie (2023) Vol. 135, Iss. 23
Open Access | Times Cited: 1

Monte Carlo Thompson sampling-guided design for antibody engineering
Taro Kakuzaki, Hikaru Koga, Shuuki Takizawa, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Engineering the substrate specificity of toluene degrading enzyme XylM using biosensor XylS and machine learning
Yuki Ogawa, Yutaka Saitô, Hideki Yamaguchi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access

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