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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:

PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction
Chakradhar Guntuboina, Adrita Das, Parisa Mollaei, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 46, pp. 10427-10434
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

AI Methods for Antimicrobial Peptides: Progress and Challenges
Carlos A. Brizuela, Gary Liu, J Stokes, et al.
Microbial Biotechnology (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Peptide-Aware Chemical Language Model Successfully Predicts Membrane Diffusion of Cyclic Peptides
Aaron L. Feller, Claus O. Wilke
Journal of Chemical Information and Modeling (2025)
Closed Access | Times Cited: 2
Catalyst Energy Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models
Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani
ACS Catalysis (2023) Vol. 13, Iss. 24, pp. 16032-16044
Open Access | Times Cited: 23
Integrated convolution and self-attention for improving peptide toxicity prediction
Shihu Jiao, Xiucai Ye, Tetsuya Sakurai, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 8
A review of transformers in drug discovery and beyond
Jian Jiang, Long Chen, Ke Lü, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101081-101081
Open Access | Times Cited: 6
GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models
Seongwon Kim, Parisa Mollaei, Akshay Antony, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 4, pp. 1134-1144
Open Access | Times Cited: 5
PepTune:
Shaoqing Tang, Yinuo Zhang, Pranam Chatterjee
PubMed (2025)
Closed Access
How Does Sampling Affect the AI Prediction Accuracy of Peptides' Physicochemical Properties?
Min Yan, Ankeer Abuduhebaier, Hao Zhou, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Bridging machine learning and peptide design for cancer treatment: a comprehensive review
Khosro Rezaee, Hossein Eslami
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
NA_mCNN: Classification of Sodium Transporters in Membrane Proteins by Integrating Multi-Window Deep Learning and ProtTrans for Their Therapeutic Potential
Muhammad Shahid Malik, Van‐The Le, Yu‐Yen Ou
Journal of Proteome Research (2025)
Open Access
Peptide Property Prediction for Mass Spectrometry Using AI: An Introduction to State of the Art Models
Jesse Angelis, Eva Ayla Schröder, Zixuan Xiao, et al.
PROTEOMICS (2025)
Open Access
Bioinfo-Bench: A Simple Benchmark Framework for LLM Bioinformatics Skills Evaluation
Qiyuan Chen, Cheng Deng
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 10
Prediction of hemolytic peptides and their hemolytic concentration
Anand Singh Rathore, Nishant Kumar, Shubham Choudhury, et al.
Communications Biology (2025) Vol. 8, Iss. 1
Open Access
PepBERT: Lightweight language models for peptide representation
Zhenjiao Du, Yonghui Li
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Uncovering the taste features: applying machine learning and molecular docking approaches to predict umami taste intensity of peptides
Mariia S. Ashikhmina, Artemii M. Zenkin, Igor Pantiukhin, et al.
Food Bioscience (2024), pp. 105358-105358
Closed Access | Times Cited: 2
Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives
Amiya Kumar Tripathy, Akshata Y. Patne, Subhra Mohapatra, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12368-12368
Open Access | Times Cited: 2
IDP-Bert: Predicting Properties of Intrinsically Disordered Proteins Using Large Language Models
Parisa Mollaei, Danush Sadasivam, Chakradhar Guntuboina, et al.
The Journal of Physical Chemistry B (2024)
Open Access | Times Cited: 2
GradNav: Accelerated Exploration of Potential Energy Surfaces with Gradient-Based Navigation
Janghoon Ock, Parisa Mollaei, Amir Barati Farimani
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 10, pp. 4088-4098
Open Access | Times Cited: 1
AlloyBERT: Alloy property prediction with large language models
Akshat Chaudhari, Chakradhar Guntuboina, Hongshuo Huang, et al.
Computational Materials Science (2024) Vol. 244, pp. 113256-113256
Open Access | Times Cited: 1
Understanding and Therapeutic Application of Immune Response in Major Histocompatibility Complex (MHC) Diversity Using Multimodal Artificial Intelligence
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2024) Vol. 4, Iss. 3, pp. 1835-1864
Open Access | Times Cited: 1
ToxGIN: an In silico prediction model for peptide toxicity via graph isomorphism networks integrating peptide sequence and structure information
Qi Yu, Zhixing Zhang, Guixia Liu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 1
Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties
Srivathsan Badrinarayanan, Chakradhar Guntuboina, Parisa Mollaei, et al.
Journal of Chemical Information and Modeling (2024) Vol. 65, Iss. 1, pp. 83-91
Open Access | Times Cited: 1
Leveraging large language models for peptide antibiotic design
Changge Guan, Fabiano C. Fernandes, Octávio Luiz Franco, et al.
Cell Reports Physical Science (2024) Vol. 6, Iss. 1, pp. 102359-102359
Open Access | Times Cited: 1
Predicting multifunctional peptides based on a multi-scale ResNet model combined with channel attention mechanisms
Jing Liu, Hongpu Zhao, Yu Zhang, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 4, pp. 2921-2935
Open Access
Peptide-specific chemical language model successfully predicts membrane diffusion of cyclic peptides
Aaron L. Feller, Claus O. Wilke
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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