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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:

ENNAACT is a novel tool which employs neural networks for anticancer activity classification for therapeutic peptides
Patrick Brendan Timmons, Chandralal M. Hewage
Biomedicine & Pharmacotherapy (2020) Vol. 133, pp. 111051-111051
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep Learning
Jielu Yan, Jianxiu Cai, Bob Zhang, et al.
Antibiotics (2022) Vol. 11, Iss. 10, pp. 1451-1451
Open Access | Times Cited: 71
ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides
Sajid Ahmed, Rafsanjani Muhammod, Zahid Khan, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 69
ENNAVIA is a novel method which employs neural networks for antiviral and anti-coronavirus activity prediction for therapeutic peptides
Patrick Brendan Timmons, Chandralal M. Hewage
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 67
Deep learning tools to accelerate antibiotic discovery
Angela Cesaro, Mojtaba Bagheri, Marcelo D. T. Torres, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1245-1257
Closed Access | Times Cited: 27
Design Methods for Antimicrobial Peptides with Improved Performance
James Mwangi, Peter Muiruri Kamau, Rebecca Caroline Thuku, et al.
动物学研究 (2023)
Open Access | Times Cited: 25
The role and future prospects of artificial intelligence algorithms in peptide drug development
Zhiheng Chen, Ruoxi Wang, Junqi Guo, et al.
Biomedicine & Pharmacotherapy (2024) Vol. 175, pp. 116709-116709
Open Access | Times Cited: 15
APPTEST is a novel protocol for the automatic prediction of peptide tertiary structures
Patrick Brendan Timmons, Chandralal M. Hewage
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 41
A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence
Sanjeevi Pandiyan, Li Wang
Computers in Biology and Medicine (2022) Vol. 150, pp. 106140-106140
Closed Access | Times Cited: 25
CAPTURE: Comprehensive anti-cancer peptide predictor with a unique amino acid sequence encoder
Hina Ghafoor, Muhammad Nabeel Asim, Muhammad Ali Ibrahim, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108538-108538
Closed Access | Times Cited: 5
De Novo Design of AC-P19M, a Novel Anticancer Peptide with Apoptotic Effects on Lung Cancer Cells and Anti-Angiogenic Activity
Min Kyoung Shin, Bo-Young Jang, Kyung-Bin Bu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 24, pp. 15594-15594
Open Access | Times Cited: 19
Prediction of Antifungal Activity of Antimicrobial Peptides by Transfer Learning from Protein Pretrained Models
Fernando Lobo, Maily Selena González, Alicia Boto, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10270-10270
Open Access | Times Cited: 12
LGBM-ACp: an ensemble model for anticancer peptide prediction and in silico screening with potential drug targets
Swarnava Garai, Juanit Thomas, Palash Dey, et al.
Molecular Diversity (2023)
Closed Access | Times Cited: 11
Peptide classification landscape: An in-depth systematic literature review on peptide types, databases, datasets, predictors architectures and performance
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
Closed Access
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2
Balachandran Manavalan, Shaherin Basith, Gwang Lee
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 26
The Pharmacological Potential of Novel Melittin Variants from the Honeybee and Solitary Bees against Inflammation and Cancer
Pelin Erkoc, Björn M. von Reumont, Tim Lüddecke, et al.
Toxins (2022) Vol. 14, Iss. 12, pp. 818-818
Open Access | Times Cited: 18
Efficient Mining of Anticancer Peptides from Gut Metagenome
Yue Ma, Xiaolin Liu, Xuan Zhang, et al.
Advanced Science (2023) Vol. 10, Iss. 25
Open Access | Times Cited: 8
Anticancer Peptides Classification Using Kernel Sparse Representation Classifier
Ehtisham Fazal, Muhammad Sohail Ibrahim, Seongyong Park, et al.
IEEE Access (2023) Vol. 11, pp. 17626-17637
Open Access | Times Cited: 7
Prediction of Anticancer Peptides with High Efficacy and Low Toxicity by Hybrid Model Based on 3D Structure of Peptides
Yuhong Zhao, Shijing Wang, Wenyi Fei, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 11, pp. 5630-5630
Open Access | Times Cited: 12
Short Fragmented Peptides from Pardachirus Marmoratus Exhibit Stronger Anticancer Activities in In Silico Residue Replacement and Analyses
Yong Hui Wong, Sau Har Lee
Current Drug Discovery Technologies (2024) Vol. 21, Iss. 6
Closed Access | Times Cited: 1
ENCAP: Computational prediction of tumor T cell antigens with ensemble classifiers and diverse sequence features
Jen-Chieh Yu, Kuan Ni, Ching-Tai Chen
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0307176-e0307176
Open Access | Times Cited: 1
DeepPhoPred: Accurate Deep Learning Model to Predict Microbial Phosphorylation
Faisal Ahmed, Alok Sharma, Swakkhar Shatabda, et al.
Proteins Structure Function and Bioinformatics (2024)
Closed Access | Times Cited: 1
Biophysical study of the structure and dynamics of the antimicrobial peptide maximin 1
Patrick Brendan Timmons, Chandralal M. Hewage
Journal of Peptide Science (2021) Vol. 28, Iss. 2
Open Access | Times Cited: 7
Conformation and membrane interaction studies of the potent antimicrobial and anticancer peptide palustrin-Ca
Patrick Brendan Timmons, Chandralal M. Hewage
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 4
In Silico Discovery of LL13, a Shortened Pardaxin 6 Peptide Derivative with Anti-proliferative Activity
Kah Ming Wong, Yong Hui Wong, Sau Har Lee
International Journal of Peptide Research and Therapeutics (2024) Vol. 30, Iss. 4
Closed Access
STRUCTURAL INSIGHTS AND ANTICANCER POTENTIAL OF MELITTIN IN CD147 INTERACTION
Barış Denk
Ankara Universitesi Eczacilik Fakultesi Dergisi (2024) Vol. 48, Iss. 3, pp. 13-13
Open Access
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