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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:

Ankh ☥: Optimized Protein Language Model Unlocks General-Purpose Modelling
Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

PROTGOAT : Improved automated protein function predictions using Protein Language Models
Zong Ming Chua, Adarsh Rajesh, Sanju Sinha, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Generative design of therapeutics that bind and modulate protein states
Tianlai Chen, Lauren Hong, Vivian Yudistyra, et al.
Current Opinion in Biomedical Engineering (2023) Vol. 28, pp. 100496-100496
Closed Access | Times Cited: 9
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers
Pascal Notin, Ruben Weitzman, Debora S. Marks, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8
Highly accurate discovery of terpene synthases powered by machine learning reveals functional terpene cyclization in Archaea
Raman Samusevich, Téo Hebra, Roman Bushuiev, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Transformer Encoder with Protein Language Model for Protein Secondary Structure Prediction
Ammar Kazm, A Orouji Ali, Haslina Hashim
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 2, pp. 13124-13132
Open Access | Times Cited: 2
LucaOne: Generalized Biological Foundation Model with Unified Nucleic Acid and Protein Language
Yong He, Pan Fang, Yongtao Shan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Rapid protein evolution by few-shot learning with a protein language model
Kaiyi Jiang, Zhaoqing Yan, Matteo Di Bernardo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Direct Prediction of Intrinsically Disordered Protein Conformational Properties From Sequence
Jeffrey M. Lotthammer, Garrett M. Ginell, Daniel Griffith, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
A new framework for evaluating model out-of-distribution for the biochemical domain*
Raúl Fernández-Díaz, Thanh Lam Hoang, Vanessa López, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Cramming Protein Language Model Training in 24 GPU Hours
Nathan C. Frey, Taylor Joren, Aya Abdelsalam Ismail, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
MULAN: Multimodal Protein Language Model for Sequence and Structure Encoding
Daria Frolova, Marina A. Pak, Anna Litvin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Mutation Pathogenicity Prediction by a Biology Based Explainable AI Multi-Modal Algorithm
Raizy Kellerman, Omri Nayshool, Ortal Barel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Machine learning for predicting protein properties: A comprehensive review
Yizhen Wang, Yanyun Zhang, Xuhui Zhan, et al.
Neurocomputing (2024) Vol. 597, pp. 128103-128103
Closed Access | Times Cited: 1
A priority code in presequences: mitochondrial targeting signals assign specific import characteristics to precursor proteins
Saskia Rödl, Yasmin Hoffman, Felix Jung, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 1
KT-AMP: Enhancing Antimicrobial Peptide Functions Prediction Through Knowledge Transfer on Protein Language Model
Liang Xiao, Haochen Zhao, Jianxin Wang
Lecture notes in computer science (2024), pp. 59-70
Closed Access | Times Cited: 1
Predicting purification process fit of monoclonal antibodies using machine learning
Andrew Maier, Minjeong Cha, Sean M. Burgess, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Zero-shot transfer of protein sequence likelihood models to thermostability prediction
Shawn Reeves, Subha Kalyaanamoorthy
Nature Machine Intelligence (2024) Vol. 6, Iss. 9, pp. 1063-1076
Closed Access | Times Cited: 1
Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model
Subash Chandra Pakhrin, Neha Chauhan, Salman Khan, et al.
Bioinformatics (2024) Vol. 40, Iss. 11
Open Access | Times Cited: 1
Direct Prediction Of Intrinsically Disordered Protein Conformational Properties From Sequence
Jeffrey M. Lotthammer, Garrett M. Ginell, Daniel Griffith, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
Efficient and accurate sequence generation with small-scale protein language models
Yaiza Serrano, Sergi Rodà, Vı́ctor Guallar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment
Cyril Malbranke, William Rostain, Florence Depardieu, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 11, pp. e1011621-e1011621
Open Access | Times Cited: 4
Computational design of novel Cas9 PAM-interacting domains using evolution-based modelling and structural quality assessment
Cyril Malbranke, William Rostain, Florence Depardieu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Design of Enzymes for Biocatalysis, Bioremediation, and Biosensing using Variational Autoencoder-Generated Latent Spaces
Pavel Kohout, Michal Vasina, Marika Majerova, et al.
(2023)
Open Access | Times Cited: 3
Transformer-Based Deep Learning Model with Latent Space Regularization for CRISPR-Cas Protein Sequence Classification
Bharani Nammi, Sita Sirisha Madugula, Pranav Pujar, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sable: Bridging the Gap in Protein Structure Understanding with an Empowering and Versatile Pre-training Paradigm
Qiwei Ye, jiashan li, Xi Chen, et al.
Research Square (Research Square) (2024)
Open Access

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