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 to navigate fitness landscapes for protein engineering
Chase R. Freschlin, Sarah A. Fahlberg, Philip A. Romero
Current Opinion in Biotechnology (2022) Vol. 75, pp. 102713-102713
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering
Jason Yang, Francesca-Zhoufan Li, Frances H. Arnold
ACS Central Science (2024) Vol. 10, Iss. 2, pp. 226-241
Open Access | Times Cited: 51
Ultrahigh-Throughput Enzyme Engineering and Discovery in In Vitro Compartments
Maximilian Gantz, Stefanie Neun, Elliot J. Medcalf, et al.
Chemical Reviews (2023) Vol. 123, Iss. 9, pp. 5571-5611
Open Access | Times Cited: 46
Assessing developability early in the discovery process for novel biologics
Monica L. Fernández‐Quintero, Anne Ljungars, Franz Waibl, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 42
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
Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins
Megan Leander, Zhuang Liu, Qiang Cui, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 35
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
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: 24
Non-Native Site-Selective Enzyme Catalysis
Dibyendu Mondal, Harrison M. Snodgrass, Christian A. Gomez, et al.
Chemical Reviews (2023) Vol. 123, Iss. 16, pp. 10381-10431
Open Access | Times Cited: 22
Learning from Protein Engineering by Deconvolution of Multi‐Mutational Variants
Frank Hollmann, Joaquin Sanchis, Manfred T. Reetz
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 36
Open Access | Times Cited: 10
Deep generative models for detector signature simulation: A taxonomic review
Hosein Hashemi, Claudius Krause
Reviews in Physics (2024) Vol. 12, pp. 100092-100092
Open Access | Times Cited: 10
Neural network extrapolation to distant regions of the protein fitness landscape
Chase R. Freschlin, Sarah A. Fahlberg, Pete Heinzelman, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
MoCHI: neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis and allostery from deep mutational scanning data
André J. Faure, Ben Lehner
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 7
Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning
Tobias Vornholt, Mojmír Mutný, Gregor W. Schmidt, et al.
ACS Central Science (2024) Vol. 10, Iss. 7, pp. 1357-1370
Open Access | Times Cited: 7
Overview and Prospects of DNA Sequence Visualization
Wu Yan, Xiaojun Xie, Jihong Zhu, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 2, pp. 477-477
Open Access
Active learning-assisted directed evolution
Jason Yang, Ravi Lal, James C. Bowden, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Accelerated enzyme engineering by machine-learning guided cell-free expression
Grant M. Landwehr, Jonathan W. Bogart, Carol Magalhaes, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Designed active-site library reveals thousands of functional GFP variants
Jonathan J. Weinstein, Carlos Martí‐Gómez, Rosalie Lipsh‐Sokolik, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques
José A. Barbero‐Aparicio, Alicia Olivares‐Gil, Juan J. Rodríguez, et al.
Information Fusion (2023) Vol. 102, pp. 102035-102035
Open Access | Times Cited: 15
DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering
Jason Yang, Julie Ducharme, Kadina E. Johnston, et al.
ACS Synthetic Biology (2023) Vol. 12, Iss. 8, pp. 2444-2454
Open Access | Times Cited: 14
Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current Status and Challenges
Jasmin Hassan, S. Saeed, Lipika Deka, et al.
Pharmaceutics (2024) Vol. 16, Iss. 2, pp. 260-260
Open Access | Times Cited: 4
Inferring protein fitness landscapes from laboratory evolution experiments
Sameer D’Costa, Emily C. Hinds, Chase R. Freschlin, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 3, pp. e1010956-e1010956
Open Access | Times Cited: 12
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
Identifying and Engineering Flavin Dependent Halogenases for Selective Biocatalysis
Jared C. Lewis
Accounts of Chemical Research (2024) Vol. 57, Iss. 15, pp. 2067-2079
Open Access | Times Cited: 3
Active Learning-Assisted Directed Evolution
Jason Yang, Ravi Lal, James C. Bowden, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
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
Page 1 - Next Page

Scroll to top