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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:

Deep Local Analysis deconstructs protein–protein interfaces and accurately estimates binding affinity changes upon mutation
Yasser Mohseni Behbahani, Élodie Laine, Alessandra Carbone
Bioinformatics (2023) Vol. 39, Iss. Supplement_1, pp. i544-i552
Open Access | Times Cited: 11

Showing 11 citing articles:

Alignment-based Protein Mutational Landscape Prediction: Doing More with Less
Marina Abakarova, Céline Marquet, Michaël Rera, et al.
Genome Biology and Evolution (2023) Vol. 15, Iss. 11
Open Access | Times Cited: 10
G–PLIP: Knowledge graph neural network for structure-free protein–ligand bioactivity prediction
Simon Crouzet, Anja Maria Lieberherr, Kenneth Atz, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2872-2882
Open Access | Times Cited: 3
DeepPPAPredMut: deep ensemble method for predicting the binding affinity change in protein-protein complexes upon mutation
Rahul Nikam, Sherlyn Jemimah, M. Michael Gromiha
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 2
Graph masked self-distillation learning for prediction of mutation impact on protein–protein interactions
Yuan Zhang, Mingyuan Dong, Jianhua Deng, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Growing ecosystem of deep learning methods for modeling protein–protein interactions
Julia R. Rogers, Gergő Nikolényi, Mohammed AlQuraishi
Protein Engineering Design and Selection (2023) Vol. 36
Open Access | Times Cited: 6
PPB-Affinity: Protein-Protein Binding Affinity dataset for AI-based protein drug discovery
Huaqing Liu, Peiyi Chen, Xiangjun Zhai, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
G-PLIP: Knowledge graph neural network for structure-free protein-ligand bioactivity prediction
Simon Crouzet, Anja Maria Lieberherr, Kenneth Atz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
MechPPI: Binding Mechanism-based Machine-Learning tool for Predicting Protein-Protein Binding Affinity Changes Upon Mutations
Yangying Liu, Grant Armstrong, Justin Tam, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Benchmarking the accuracy of structure‐based binding affinity predictors on Spike–ACE2 deep mutational interaction set
Burcu Çelet Özden, Eda Şamiloğlu, Atakan Özsan, et al.
Proteins Structure Function and Bioinformatics (2023) Vol. 92, Iss. 4, pp. 529-539
Closed Access | Times Cited: 2
Complementary evaluation of computational methods for predicting single residue effects on peptide binding specificities
Merve Ayyildiz, Jakob Noske, Florian J. Gisdon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Benchmarking the accuracy of structure-based binding affinity predictors on Spike-ACE2 Deep Mutational Interaction Set
Burcu Çelet Özden, Eda Şamiloğlu, Atakan Özsan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access
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