Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 1-25 of 86 citing articles:

Recent Progress and Prospects in Catalytic Water Treatment
Vasile I. Pârvulescu, Florence Epron, Hermenegildo Garcı́a, et al.
Chemical Reviews (2021) Vol. 122, Iss. 3, pp. 2981-3121
Open Access | Times Cited: 218
Informed training set design enables efficient machine learning-assisted directed protein evolution
Bruce J. Wittmann, Yisong Yue, Frances H. Arnold
Cell Systems (2021) Vol. 12, Iss. 11, pp. 1026-1045.e7
Open Access | Times Cited: 151
Advances in machine learning for directed evolution
Bruce J. Wittmann, Kadina E. Johnston, Zachary Wu, et al.
Current Opinion in Structural Biology (2021) Vol. 69, pp. 11-18
Open Access | Times Cited: 125
Machine‐Learning‐Assisted Nanozyme Design: Lessons from Materials and Engineered Enzymes
Jie Zhuang, Adam C. Midgley, Yonghua Wei, et al.
Advanced Materials (2023) Vol. 36, Iss. 10
Closed Access | Times Cited: 58
Artificial intelligence-aided protein engineering: from topological data analysis to deep protein language models
Yuchi Qiu, Guo‐Wei Wei
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 38
Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering
Kerr Ding, M. A. Chin, Yunlong Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
Algorithm-aided engineering of aliphatic halogenase WelO5* for the asymmetric late-stage functionalization of soraphens
Johannes Büchler, Sumire Honda Malca, David Patsch, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 61
Machine learning in bioprocess development: from promise to practice
Laura M. Helleckes, Johannes Hemmerich, Wolfgang Wiechert, et al.
Trends in biotechnology (2022) Vol. 41, Iss. 6, pp. 817-835
Open Access | Times Cited: 53
High-throughput screening, next generation sequencing and machine learning: advanced methods in enzyme engineering
Rosario Vanella, Gordana Kovačević, Vanni Doffini, et al.
Chemical Communications (2022) Vol. 58, Iss. 15, pp. 2455-2467
Open Access | Times Cited: 52
Engineering Enzyme Properties for Improved Biocatalytic Processes in Batch and Continuous Flow
Raquel Abdallah da Rocha, Robert Speight, Colin Scott
Organic Process Research & Development (2022) Vol. 26, Iss. 7, pp. 1914-1924
Open Access | Times Cited: 44
Recent advances in machine learning applications in metabolic engineering
Pradipta Patra, Disha B.R., Pritam Kundu, et al.
Biotechnology Advances (2022) Vol. 62, pp. 108069-108069
Closed Access | Times Cited: 44
Accelerating Biocatalysis Discovery with Machine Learning: A Paradigm Shift in Enzyme Engineering, Discovery, and Design
Braun Markus, Gruber Christian C, Krassnigg Andreas, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 14454-14469
Open Access | Times Cited: 29
Bioengineered Enzymes and Precision Fermentation in the Food Industry
Fatma Boukid, S. Ganeshan, Yingxin Wang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10156-10156
Open Access | Times Cited: 26
Cluster learning-assisted directed evolution
Yuchi Qiu, Jian Hu, Guo‐Wei Wei
Nature Computational Science (2021) Vol. 1, Iss. 12, pp. 809-818
Open Access | Times Cited: 50
Learning Epistasis and Residue Coevolution Patterns: Current Trends and Future Perspectives for Advancing Enzyme Engineering
Marcel Wittmund, Frédéric Cadet, Mehdi D. Davari
ACS Catalysis (2022) Vol. 12, Iss. 22, pp. 14243-14263
Closed Access | Times Cited: 33
Recent Advances in Machine Learning Variant Effect Prediction Tools for Protein Engineering
Jesse Horne, Diwakar Shukla
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 19, pp. 6235-6245
Open Access | Times Cited: 31
In vitro continuous protein evolution empowered by machine learning and automation
Tianhao Yu, Aashutosh Girish Boob, Nilmani Singh, et al.
Cell Systems (2023) Vol. 14, Iss. 8, pp. 633-644
Closed Access | Times Cited: 18
Machine Learning: A Suitable Method for Biocatalysis
Pedro Sampaio, Pedro Fernandes
Catalysts (2023) Vol. 13, Iss. 6, pp. 961-961
Open Access | Times Cited: 15
Research progress of engineering microbial cell factories for pigment production
Shumin Xu, Song Gao, Yingfeng An
Biotechnology Advances (2023) Vol. 65, pp. 108150-108150
Closed Access | Times Cited: 14
Artificial Intelligence Aided Lipase Production and Engineering for Enzymatic Performance Improvement
Feiyin Ge, Gang Chen, Minjing Qian, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 41, pp. 14911-14930
Closed Access | Times Cited: 14
The Impact of Metagenomics on Biocatalysis
Bethany N. Hogg, Christian Schnepel, James Finnigan, et al.
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 21
Open Access | Times Cited: 4
Revolutionizing enzyme engineering through artificial intelligence and machine learning
Nitu Singh, Sunny Malik, Anvita Gupta, et al.
Emerging Topics in Life Sciences (2021) Vol. 5, Iss. 1, pp. 113-125
Closed Access | Times Cited: 35
Data Science-Driven Analysis of Substrate-Permissive Diketopiperazine Reverse Prenyltransferase NotF: Applications in Protein Engineering and Cascade Biocatalytic Synthesis of (−)-Eurotiumin A
Samantha P. Kelly, Vikram V. Shende, Autumn R. Flynn, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 42, pp. 19326-19336
Open Access | Times Cited: 24
Harnessing generative AI to decode enzyme catalysis and evolution for enhanced engineering
Wen Jun Xie, Arieh Warshel
National Science Review (2023) Vol. 10, Iss. 12
Open Access | Times Cited: 11
Enhanced stereodivergent evolution of carboxylesterase for efficient kinetic resolution of near-symmetric esters through machine learning
Guochao Xu, Zhe Dou, Xuanzao Chen, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top