Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning
John‐Marc Chandonia, Lindsey Guan, Shiangyi Lin, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D553-D559
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

Discovery of deaminase functions by structure-based protein clustering
Jiaying Huang, Qiupeng Lin, Hongyuan Fei, et al.
Cell (2023) Vol. 186, Iss. 15, pp. 3182-3195.e14
Open Access | Times Cited: 115
Unraveling the functional dark matter through global metagenomics
Georgios A. Pavlopoulos, Fotis A. Baltoumas, Sirui Liu, et al.
Nature (2023) Vol. 622, Iss. 7983, pp. 594-602
Open Access | Times Cited: 85
AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms
Nicola Bordin, Ian Sillitoe, Vamsi Nallapareddy, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 75
PLMSearch: Protein language model powers accurate and fast sequence search for remote homology
Wei Liu, Ziye Wang, Ronghui You, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 25
Novel machine learning approaches revolutionize protein knowledge
Nicola Bordin, Christian Dallago, Michael Heinzinger, et al.
Trends in Biochemical Sciences (2022) Vol. 48, Iss. 4, pp. 345-359
Open Access | Times Cited: 48
Improved global protein homolog detection with major gains in function identification
Mesih Kilinc, Kejue Jia, Robert L. Jernigan
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 9
Open Access | Times Cited: 37
Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning
Yuhao Xia, Kailong Zhao, Dong Liu, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
ECOD domain classification of 48 whole proteomes from AlphaFold Structure Database using DPAM2
R. Dustin Schaeffer, Jing Zhang, Kirill E. Medvedev, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011586-e1011586
Open Access | Times Cited: 14
Chainsaw: protein domain segmentation with fully convolutional neural networks
Jude Wells, Alex Hawkins‐Hooker, Nicola Bordin, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 13
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: 13
VOGDB—Database of Virus Orthologous Groups
Lovro Trgovec-Greif, Hans-Jörg Hellinger, Jean Mainguy, et al.
Viruses (2024) Vol. 16, Iss. 8, pp. 1191-1191
Open Access | Times Cited: 13
Zero-shot prediction of mutation effects with multimodal deep representation learning guides protein engineering
Peng Cheng, Cong Mao, Jin Tang, et al.
Cell Research (2024) Vol. 34, Iss. 9, pp. 630-647
Open Access | Times Cited: 12
An end-to-end framework for the prediction of protein structure and fitness from single sequence
Yinghui Chen, Yunxin Xu, Ди Лю, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
An analysis of protein language model embeddings for fold prediction
Amelia Villegas-Morcillo, Ángel M. Gómez, Victoria Sánchez
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 32
SWORD2: hierarchical analysis of protein 3D structures
Gabriel Cretin, Tatiana Galochkina, Yann Vander Meersche, et al.
Nucleic Acids Research (2022) Vol. 50, Iss. W1, pp. W732-W738
Open Access | Times Cited: 30
The opportunities and challenges posed by the new generation of deep learning-based protein structure predictors
Mihály Váradi, Nicola Bordin, Christine Orengo, et al.
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102543-102543
Open Access | Times Cited: 17
AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms
Nicola Bordin, Ian Sillitoe, Vamsi Nallapareddy, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 24
Fluid protein fold space and its implications
Lauren L. Porter
BioEssays (2023) Vol. 45, Iss. 9
Open Access | Times Cited: 13
Tandem-repeat lectins: structural and functional insights
Francisco H Olvera-Lucio, Héctor Riveros‐Rosas, Adrián Quintero-Martínez, et al.
Glycobiology (2024) Vol. 34, Iss. 7
Open Access | Times Cited: 5
Protein Function Analysis through Machine Learning
Chris Avery, John A. Patterson, Tyler Grear, et al.
Biomolecules (2022) Vol. 12, Iss. 9, pp. 1246-1246
Open Access | Times Cited: 20
Tertiary-interaction characters enable fast, model-based structural phylogenetics beyond the twilight zone
Caroline Puente-Lelièvre, Ashar J. Malik, Jordan Douglas, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 12
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
Enzyme function and evolution through the lens of bioinformatics
António J. M. Ribeiro, Ioannis G. Riziotis, Neera Borkakoti, et al.
Biochemical Journal (2023) Vol. 480, Iss. 22, pp. 1845-1863
Open Access | Times Cited: 11
Exploring the roles of ribosomal peptides in prokaryote-phage interactions through deep learning-enabled metagenome mining
Ying Gao, Zhong Zheng, Dengwei Zhang, et al.
Microbiome (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 4
Vaccine development using artificial intelligence and machine learning: A review
Varun Asediya, Pranav Anjaria, R. A. Mathakiya, et al.
International Journal of Biological Macromolecules (2024), pp. 136643-136643
Closed Access | Times Cited: 4
Page 1 - Next Page

Scroll to top