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:
M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddings
Aditi Shenoy, Yogesh Kalakoti, Durai Sundar, et al.
Bioinformatics (2024) Vol. 40, Iss. 1
Open Access | Times Cited: 6
Aditi Shenoy, Yogesh Kalakoti, Durai Sundar, et al.
Bioinformatics (2024) Vol. 40, Iss. 1
Open Access | Times Cited: 6
Showing 6 citing articles:
Predicting metal-binding proteins and structures through integration of evolutionary-scale and physics-based modeling
Xin Dai, Max Henderson, Shinjae Yoo, et al.
Journal of Molecular Biology (2025), pp. 168962-168962
Closed Access | Times Cited: 1
Xin Dai, Max Henderson, Shinjae Yoo, et al.
Journal of Molecular Biology (2025), pp. 168962-168962
Closed Access | Times Cited: 1
bindNode24: Competitive binding residue prediction with 60% smaller model
Kyra Erckert, Franz Birkeneder, Burkhard Rost
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 1060-1066
Open Access
Kyra Erckert, Franz Birkeneder, Burkhard Rost
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 1060-1066
Open Access
Predicting metal-protein interactions using cofolding methods: Status quo
Simon Dürr, Ursula Röthlisberger
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Simon Dürr, Ursula Röthlisberger
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
MERIT: Accurate prediction of multi ligand-binding residues with hybrid deep transformer network, evolutionary couplings and transfer learning
Jian Zhang, Sushmita Basu, Fuhao Zhang, et al.
Journal of Molecular Biology (2024), pp. 168872-168872
Closed Access | Times Cited: 1
Jian Zhang, Sushmita Basu, Fuhao Zhang, et al.
Journal of Molecular Biology (2024), pp. 168872-168872
Closed Access | Times Cited: 1
MetaLATTE: Metal Binding Prediction via Multi-Task Learning on Protein Language Model Latents
Yinuo Zhang, Phil He, Ashley Hsu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Yinuo Zhang, Phil He, Ashley Hsu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Predict metal-binding proteins and structures through integration of evolutionary-scale and physics-based modeling
Xin Dai, Max Henderson, Shinjae Yoo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Xin Dai, Max Henderson, Shinjae Yoo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
