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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-assisted enzyme engineering
Niklas E. Siedhoff, Ulrich Schwaneberg, Mehdi D. Davari
Methods in enzymology on CD-ROM/Methods in enzymology (2020), pp. 281-315
Closed Access | Times Cited: 86

Showing 51-75 of 86 citing articles:

Interpretable and explainable predictive machine learning models for data-driven protein engineering
David Medina-Ortiz, Ashkan Khalifeh, Hoda Anvari-Kazemabad, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Investigating Enzyme Biochemistry by Deep Learning: A Computational Tool for a New Era
Milad Rayka, Morteza Mirzaei, Gholamreza Farnoosh, et al.
Journal of Computational Biophysics and Chemistry (2024) Vol. 23, Iss. 06, pp. 781-799
Closed Access | Times Cited: 1
Leveraging the Power of Enzymes in Engineered Dead and Living Materials
Mark Shannon, Bini Zhou, Adam W. Perriman
Advanced Functional Materials (2024) Vol. 34, Iss. 44
Closed Access | Times Cited: 1
Enhanced stereodivergent evolution of carboxylesterase for efficient kinetic resolution of near-symmetric esters through machine learning
Zhe Dou, Xuanzao Chen, Ledong Zhu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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
On the reproducibility of enzyme reactions and kinetic modelling
Gudrun Gygli
Biological Chemistry (2022) Vol. 403, Iss. 8-9, pp. 717-730
Open Access | Times Cited: 6
Engineering of Substrate Tunnel of P450 CYP116B3 though Machine Learning
Yiheng Liu, Zhongyu Li, Chenqi Cao, et al.
Catalysts (2023) Vol. 13, Iss. 8, pp. 1228-1228
Open Access | Times Cited: 3
New fraternine analogues: Evaluation of the antiparkinsonian effect in the model of Parkinson's disease
Andréia Biolchi Mayer, Henrique de Oliveira Amaral, Danilo Gustavo Rodrigues de Oliveira, et al.
Neuropeptides (2023) Vol. 103, pp. 102390-102390
Closed Access | Times Cited: 3
STAR: A Web Server for Assisting Directed Protein Evolution with Machine Learning
Likun Yang, Xiaoli Liang, Na Zhang, et al.
ACS Omega (2023) Vol. 8, Iss. 47, pp. 44751-44756
Open Access | Times Cited: 3
Toward Reproducible Enzyme Modeling with Isothermal Titration Calorimetry
Felix Ott, Kersten S. Rabe, Christof M. Niemeyer, et al.
ACS Catalysis (2021) Vol. 11, Iss. 17, pp. 10695-10704
Open Access | Times Cited: 7
Recent trends in approaches for optimization of process parameters for the production of microbial cellulase from wastes
Dibyajit Lahiri, Moupriya Nag, Dipro Mukherjee, et al.
Environmental Sustainability (2021) Vol. 4, Iss. 2, pp. 273-284
Closed Access | Times Cited: 7
Machine Learning-Assisted Engineering of Light, Oxygen, Voltage Photoreceptor Adduct Lifetime
Stefanie Hemmer, Niklas E. Siedhoff, Sophia Werner, et al.
JACS Au (2023) Vol. 3, Iss. 12, pp. 3311-3323
Open Access | Times Cited: 2
The Impact of Metagenomics on Biocatalysis
Bethany N. Hogg, Christian Schnepel, James Finnigan, et al.
Angewandte Chemie (2024) Vol. 136, Iss. 21
Open Access
Hydrophobic substrate binding pocket remodeling of echinocandin B deacylase based on multi-dimensional rational design
Heng Tang, Hanyue Zhu, Yin-feng Huang, et al.
International Journal of Biological Macromolecules (2024) Vol. 267, pp. 131473-131473
Closed Access
Revolutionizing Molecular Design for Innovative Therapeutic Applications through Artificial Intelligence
Ahrum Son, Jongham Park, Woojin Kim, et al.
Molecules (2024) Vol. 29, Iss. 19, pp. 4626-4626
Open Access
Fertilizer Management with Machine Learning: A Farmer’s Guide to Improved Yield
Nebri Mohamed-Amine, Abdellatif Moussaid, Belaid Bouikhalene
Lecture notes in networks and systems (2024), pp. 337-343
Closed Access
Designing a whole-cell biosensor applicable for S-adenosyl-l-methionine-dependent methyltransferases
Zhen Zhen, La Xiang, Shizhong Li, et al.
Biosensors and Bioelectronics (2024) Vol. 268, pp. 116904-116904
Closed Access
Efficient Synthesis of γ-Aminobutyric Acid from Monosodium Glutamate Using an Engineered Glutamate Decarboxylase Active at a Neutral pH
Miao Li, Yingjia Zheng, Ran Cheng, et al.
Catalysts (2024) Vol. 14, Iss. 12, pp. 905-905
Open Access
Advances in Zero‐Shot Prediction‐Guided Enzyme Engineering Using Machine Learning
Chang Liu, Junxian Wu, Yongbo Chen, et al.
ChemCatChem (2024)
Closed Access
Facilitating Machine Learning‐Guided Protein Engineering with Smart Library Design and Massively Parallel Assays
Hoi Yee Chu, Alan S.L. Wong
Advanced Genetics (2021) Vol. 2, Iss. 4
Open Access | Times Cited: 5
Enzymatic bioremediation
Luciana Porto de Souza Vandenberghe, Nelson Libardi, Kim Kley Valladares-Diestra, et al.
Elsevier eBooks (2022), pp. 355-381
Closed Access | Times Cited: 2
CLADE: Cluster learning-assisted directed evolution
Yuchi Qiu, Jian Hu, Guo‐Wei Wei
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Industrial biotechnology: An Indian perspective
Kumud Tiwari, Garima Singh, Gajender Singh, et al.
Journal of Applied Biology & Biotechnology (2022), pp. 22-33
Open Access | Times Cited: 1
Modern Approaches of Protein Engineering for the Creation of Enzymes with New Catalytic Properties
Timofey E. Tyugashev, Olga S. Fedorova, Nikita A. Kuznetsov
Молекулярная биология (2023) Vol. 57, Iss. 2, pp. 209-219
Closed Access
Modern Approaches to Protein Engineering to Create Enzymes with New Catalytic Properties
Timofey E. Tyugashev, Olga S. Fedorova, Nikita A. Kuznetsov
Molecular Biology (2023) Vol. 57, Iss. 2, pp. 204-213
Open Access

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