Open Access Helper

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:

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

Showing 10 citing articles:

Machine learning for functional protein design
Pascal Notin, Nathan Rollins, Yarin Gal, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 216-228
Closed Access | Times Cited: 68
Computational scoring and experimental evaluation of enzymes generated by neural networks
Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, et al.
Nature Biotechnology (2024)
Open Access | Times Cited: 19
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
Computational Scoring and Experimental Evaluation of Enzymes Generated by Neural Networks
Sean R. Johnson, Xiaozhi Fu, Sandra Viknander, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 22
Machine learning for evolutionary-based and physics-inspired protein design: Current and future synergies
Cyril Malbranke, David Bikard, Simona Cocco, et al.
Current Opinion in Structural Biology (2023) Vol. 80, pp. 102571-102571
Open Access | Times Cited: 21
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
Design of Enzymes for Biocatalysis, Bioremediation, and Biosensing using Variational Autoencoder-Generated Latent Spaces
Pavel Kohout, Michal Vasina, Marika Majerova, et al.
(2023)
Open Access | Times Cited: 3
ProtWave-VAE: Integrating autoregressive sampling with latent-based inference for data-driven protein design
Nikša Praljak, Xinran Lian, Rama Ranganathan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
AutoEncoderToolkit.jl: A Julia package for training (Variational) Autoencoders
Manuel Razo‐Mejia
The Journal of Open Source Software (2024) Vol. 9, Iss. 99, pp. 6794-6794
Open Access
Prions: structure, function, evolution, and disease
Clara Casey, Roy D. Sleator
Archives of Microbiology (2024) Vol. 207, Iss. 1
Closed Access
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