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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:

NanoNet: Rapid and accurate end-to-end nanobody modeling by deep learning
Tomer Cohen, Matan Halfon, Dina Schneidman‐Duhovny
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 70

Showing 26-50 of 70 citing articles:

Computational and Machine Learning Approaches for Optimizing Anti-CD3ε Nanobody: Humanization and Characterization for Enhanced Therapeutic Efficacy
Ali Rahmati Bonab, Hannaneh Jalilzadeh Ghahi, Mahmoud Hassani, et al.
Research Square (Research Square) (2025)
Closed Access
Application of Artificial Intelligence and Computational Biology in Protein Drug Development
Jiacheng Jiang, Wen Li, Weiran Huang, et al.
Pharmaceutical Fronts (2025)
Open Access
nanoFOLD : sequence design of nanobodies via inverse folding
Dawid Chomicz, Bartosz Janusz, S. Wröbel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
NABP-LSTM-Att: Nanobody-Antigen binding prediction using bidirectional LSTM and soft attention mechanism
Fatma S. Ahmed, Saleh Aly, Mohamed Y. Eltabakh, et al.
Computational Biology and Chemistry (2025) Vol. 118, pp. 108490-108490
Closed Access
Deep learning guided high-throughput virtual screening for in vitro antibody maturation
Gong Chen, Hongde Liu
BIO Web of Conferences (2025) Vol. 174, pp. 03017-03017
Open Access
VHH Structural Modelling Approaches: A Critical Review
Poonam Vishwakarma, Akhila Melarkode Vattekatte, Nicolas K. Shinada, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 7, pp. 3721-3721
Open Access | Times Cited: 15
A comprehensive overview of recent advances in generative models for antibodies
Fanxu Meng, Na Zhou, Hu Guangchun, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2648-2660
Open Access | Times Cited: 3
Advancements in nanobody generation: Integrating conventional, in silico, and machine learning approaches
D. Jagadeeswara Reddy, Girijasankar Guntuku, Mary Sulakshana Palla
Biotechnology and Bioengineering (2024) Vol. 121, Iss. 11, pp. 3375-3388
Open Access | Times Cited: 3
TEMPRO: nanobody melting temperature estimation model using protein embeddings
Jerome Anthony E. Alvarez, Scott N. Dean
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Computational electrostatic engineering of nanobodies for enhanced SARS−CoV−2 receptor binding domain recognition
Zafar Iqbal, Muhammad Asim, Umair Khan, et al.
Frontiers in Molecular Biosciences (2025) Vol. 12
Open Access
Structure and Dynamics Guiding Design of Antibody Therapeutics and Vaccines
Monica L. Fernández‐Quintero, Nancy D. Pomarici, Anna-Lena M. Fischer, et al.
Antibodies (2023) Vol. 12, Iss. 4, pp. 67-67
Open Access | Times Cited: 6
Sequence-based engineering of pH-sensitive antibodies for tumor targeting or endosomal recycling applications
Wanlei Wei, Traian Sulea
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Structure modeling and specificity of peptide-MHC class I interactions using geometric deep learning
Alon Aronson, Tanya Hochner, Tomer Cohen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 10
Simultaneous prediction of antibody backbone and side-chain conformations with deep learning
Deniz Akpinaroglu, Jeffrey A. Ruffolo, Sai Pooja Mahajan, et al.
PLoS ONE (2022) Vol. 17, Iss. 6, pp. e0258173-e0258173
Open Access | Times Cited: 9
Quality assessment of VHH models
Aravindan Arun Nadaradjane, Julien Diharce, Joseph Rebehmed, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 41, Iss. 22, pp. 13287-13301
Closed Access | Times Cited: 4
Identifying promising sequences for protein engineering using a deep transformer protein language model
Trevor S. Frisby, Christopher J. Langmead
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 11, pp. 1471-1486
Open Access | Times Cited: 4
Sequence-Based Nanobody-Antigen Binding Prediction
Usama Sardar, Sarwan Ali, Muhammad Sohaib Ayub, et al.
Lecture notes in computer science (2023), pp. 227-240
Closed Access | Times Cited: 4
Enhancement of antibody thermostability and affinity by computational design in the absence of antigen
Mark R. Hutchinson, Jeffrey A. Ruffolo, Nantaporn Haskins, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Human coronavirus OC43 nanobody neutralizes virus and protects mice from infection
Amy Adair, Li Lynn Tan, Jackson Feng, et al.
Journal of Virology (2024) Vol. 98, Iss. 6
Open Access | Times Cited: 1
NABP-BERT: NANOBODY®-antigen binding prediction based on bidirectional encoder representations from transformers (BERT) architecture
Fatma S. Ahmed, Saleh Aly, Xiangrong Liu
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Nanobodies against SARS-CoV-2 reduced virus load in the brain of challenged mice and neutralized Wuhan, Delta and Omicron Variants
María F. Pavan, Marina Bok, Rafael Betanzos San Juan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Exploring rigid-backbone protein docking in biologics discovery: a test using the DARPin scaffold
Francis Gaudreault, Jason Baardsnes, Yuliya Martynova, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 2
Evaluation of the Potential Impact of In Silico Humanization on VHH Dynamics
C Martins, Julien Diharce, Aravindan Arun Nadaradjane, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 19, pp. 14586-14586
Open Access | Times Cited: 2
Accurate prediction of CDR-H3 loop structures of antibodies with deep learning
Hedi Chen, Xiaoyu Fan, Shuqian Zhu, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 2
LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks
Antoine Delaunay, Yunguan Fu, Nikolai Gorbushin, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

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