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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:

Protein sequence design with a learned potential
Namrata Anand, Raphael R. Eguchi, I.I. Mathews, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 129

Showing 26-50 of 129 citing articles:

An enumerative algorithm for de novo design of proteins with diverse pocket structures
Benjamin Basanta, Matthew J. Bick, Asim K. Bera, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 36, pp. 22135-22145
Open Access | Times Cited: 73
Deep generative modeling for protein design
Alexey Strokach, Philip M. Kim
Current Opinion in Structural Biology (2021) Vol. 72, pp. 226-236
Open Access | Times Cited: 69
Protein design via deep learning
Wenze Ding, Kenta Nakai, Haipeng Gong
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 56
Rotamer-free protein sequence design based on deep learning and self-consistency
Yufeng Liu, Lu Zhang, Weilun Wang, et al.
Nature Computational Science (2022) Vol. 2, Iss. 7, pp. 451-462
Closed Access | Times Cited: 44
Metal3D: a general deep learning framework for accurate metal ion location prediction in proteins
Simon Dürr, Andrea Levy, Ursula Röthlisberger
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 30
AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design
Guillem Casadevall, Cristina Duran, Sílvia Osuna
JACS Au (2023) Vol. 3, Iss. 6, pp. 1554-1562
Open Access | Times Cited: 28
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
Deep learning for protein structure prediction and design—progress and applications
Jürgen Jänes, Pedro Beltrão
Molecular Systems Biology (2024) Vol. 20, Iss. 3, pp. 162-169
Open Access | Times Cited: 9
Learning the shape of protein microenvironments with a holographic convolutional neural network
Michael N. Pun, A. Ivanov, Quinn Bellamy, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 6
Open Access | Times Cited: 7
Simultaneous enhancement of multiple functional properties using evolution-informed protein design
Benjamin Fram, Yang Su, Ian Truebridge, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
Xiangru Tang, Howard Dai, Elizabeth Knight, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 7
Protein‐Based Controllable Nanoarchitectonics for Desired Applications
Ling Li, Yingying Zhang, Yage Wu, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 29
Closed Access | Times Cited: 6
De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks
Mostafa Karimi, Shaowen Zhu, Yue Cao, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 5667-5681
Open Access | Times Cited: 56
Accurate and efficient protein sequence design through learning concise local environment of residues
Bin Huang, Tingwen Fan, Kaiyue Wang, et al.
Bioinformatics (2023) Vol. 39, Iss. 3
Open Access | Times Cited: 19
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs
Fang Wu, Dragomir Radev, Stan Z. Li
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 4, pp. 5312-5320
Open Access | Times Cited: 18
Computational design of soluble functional analogues of integral membrane proteins
Casper A. Goverde, Martin Pačesa, Nicolas Goldbach, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 17
AI models for protein design are driving antibody engineering
Michael Chungyoun, Jeffrey J. Gray
Current Opinion in Biomedical Engineering (2023) Vol. 28, pp. 100473-100473
Open Access | Times Cited: 16
Multi-indicator comparative evaluation for deep learning-based protein sequence design methods
Jinyu Yu, Junxi Mu, Ting Wei, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 5
Controllable Data Generation by Deep Learning: A Review
Shi-Yu Wang, Yuanqi Du, Xiaojie Guo, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-38
Open Access | Times Cited: 5
Graphormer supervised de novo protein design method and function validation
Junxi Mu, Zhengxin Li, Bo Zhang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
Accurate and robust protein sequence design with CarbonDesign
Milong Ren, Chungong Yu, Dongbo Bu, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 5, pp. 536-547
Open Access | Times Cited: 4
Invariant point message passing for protein side chain packing
Nicholas Z. Randolph, Brian Kuhlman
Proteins Structure Function and Bioinformatics (2024) Vol. 92, Iss. 10, pp. 1220-1233
Closed Access | Times Cited: 4
Protein Design with Deep Learning
Marianne Defresne, Sophie Barbe, Thomas Schiex
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 21, pp. 11741-11741
Open Access | Times Cited: 38
Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence
Mariana del Carmen Aguilera‐Puga, Natalia L. Cancelarich, Mariela M. Marani, et al.
Methods in molecular biology (2023), pp. 329-352
Closed Access | Times Cited: 14
In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models
Odessa J. Goudy, Amrita Nallathambi, Tomoaki Kinjo, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 49
Open Access | Times Cited: 14

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