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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:

Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations
Shahid Iqbal, Fuyi Li, Tatsuya Akutsu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

DDMut: predicting effects of mutations on protein stability using deep learning
Yunzhuo Zhou, Qisheng Pan, Douglas E. V. Pires, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. W1, pp. W122-W128
Open Access | Times Cited: 98
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
Shantanu Jain, Constantina Bakolitsa, Steven E. Brenner, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 31
Structure-based self-supervised learning enables ultrafast protein stability prediction upon mutation
Jinyuan Sun, Tong Zhu, Yinglu Cui, et al.
The Innovation (2025) Vol. 6, Iss. 1, pp. 100750-100750
Open Access | Times Cited: 1
Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset
Corrado Pancotti, Silvia Benevenuta, Giovanni Birolo, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 97
Artificial intelligence challenges for predicting the impact of mutations on protein stability
Fabrizio Pucci, Martin Schwersensky, Marianne Rooman
Current Opinion in Structural Biology (2021) Vol. 72, pp. 161-168
Open Access | Times Cited: 71
PROST: AlphaFold2-aware Sequence-Based Predictor to Estimate Protein Stability Changes upon Missense Mutations
Shahid Iqbal, Fang Ge, Fuyi Li, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 17, pp. 4270-4282
Closed Access | Times Cited: 38
Modern Approaches to Protein Constructions: A Comprehensive Review of Computational Tools and Databases for De Novo Protein Design and Engineering
Md. Mojnu Mia, Habiba Sultana, Md. Al Amin, et al.
Engineering Reports (2025) Vol. 7, Iss. 2
Open Access
Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structures
Qisheng Pan, Thanh Nguyen, David B. Ascher, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 33
Correspondence between functional scores from deep mutational scans and predicted effects on protein stability
Lukas Gerasimavicius, Benjamin Livesey, Joseph A. Marsh
Protein Science (2023) Vol. 32, Iss. 7
Open Access | Times Cited: 16
Exploring the effects of missense mutations on protein thermodynamics through structure-based approaches: findings from the CAGI6 challenges
Carlos H. M. Rodrigues, Stephanie Portelli, David B. Ascher
Human Genetics (2024)
Open Access | Times Cited: 5
TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion
Zihao Yan, Fang Ge, Yan Liu, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1407-1418
Closed Access | Times Cited: 5
Improving the prediction of protein stability changes upon mutations by geometric learning and a pre-training strategy
Yunxin Xu, Ди Лю, Haipeng Gong
Nature Computational Science (2024) Vol. 4, Iss. 11, pp. 840-850
Closed Access | Times Cited: 4
Predicting the mutation effects of protein–ligand interactions via end-point binding free energy calculations: strategies and analyses
Yang Yu, Zhe Wang, Lingling Wang, et al.
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Model-driven insights into the effects of temperature on metabolism
Philipp Wendering, Zoran Nikoloski
Biotechnology Advances (2023) Vol. 67, pp. 108203-108203
Open Access | Times Cited: 10
Assessing computational tools for predicting protein stability changes upon missense mutations using a new dataset
Feifan Zheng, Yang Liu, Yan Yang, et al.
Protein Science (2023) Vol. 33, Iss. 1
Closed Access | Times Cited: 10
Data set and fitting dependencies when estimating protein mutant stability: Toward simple, balanced, and interpretable models
Kristoffer T. Bæk, Kasper P. Kepp
Journal of Computational Chemistry (2022) Vol. 43, Iss. 8, pp. 504-518
Open Access | Times Cited: 17
Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods
Anupam Banerjee, Satyaki Saha, Nathan C. Tvedt, et al.
Current Opinion in Structural Biology (2022) Vol. 78, pp. 102517-102517
Open Access | Times Cited: 16
Data-driven strategies for the computational design of enzyme thermal stability: trends, perspectives, and prospects
Zhixin Dou, Yuqing Sun, Xukai Jiang, et al.
Acta Biochimica et Biophysica Sinica (2023) Vol. 55, Iss. 3, pp. 343-355
Open Access | Times Cited: 9
Predicting the Effect of Single Mutations on Protein Stability and Binding with Respect to Types of Mutations
Preeti Pandey, Shailesh Kumar Panday, Prawin Rimal, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 15, pp. 12073-12073
Open Access | Times Cited: 8
In silico energetic and molecular dynamic simulations studies demonstrate potential effect of the point mutations with implications for protein engineering in BDNF
Datta Darshan V. M., Natarajan Arumugam, Abdulrahman I. Almansour, et al.
International Journal of Biological Macromolecules (2024) Vol. 271, pp. 132247-132247
Closed Access | Times Cited: 2
Rapid screening of multi-point mutations for enzyme thermostability modification by utilizing computational tools
Jin Jia, Qiaozhen Meng, Min Zeng, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 724-738
Closed Access | Times Cited: 2
Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion
Fang Ge, Ying Zhang, Jian Xu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 21
Venus: Elucidating the Impact of Amino Acid Variants on Protein Function Beyond Structure Destabilisation
Matteo P. Ferla, Alistair T. Pagnamenta, Leonidas Koukouflis, et al.
Journal of Molecular Biology (2022) Vol. 434, Iss. 11, pp. 167567-167567
Open Access | Times Cited: 13
Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutation at the protein universe scale
Jinyuan Sun, Tong Zhu, Yinglu Cui, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Comparing Supervised Learning and Rigorous Approach for Predicting Protein Stability upon Point Mutations in Difficult Targets
Jason Kurniawan, Takashi Ishida
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 21, pp. 6778-6788
Closed Access | Times Cited: 5
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