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:
Prediction of peptide hormones using an ensemble of machine learning and similarity‐based methods
Dashleen Kaur, Akanksha Arora, Palani Vigneshwar, et al.
PROTEOMICS (2024) Vol. 24, Iss. 20
Open Access | Times Cited: 8
Dashleen Kaur, Akanksha Arora, Palani Vigneshwar, et al.
PROTEOMICS (2024) Vol. 24, Iss. 20
Open Access | Times Cited: 8
Showing 8 citing articles:
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
Muhammad Nabeel Asim, Tayyaba Asif, Faiza Mehmood, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109821-109821
Closed Access
Understanding peptide hormones: from precursor proteins to bioactive molecules
Laetitia Coassolo, Amanda L. Wiggenhorn, Katrin J. Svensson
Trends in Biochemical Sciences (2025)
Closed Access
Laetitia Coassolo, Amanda L. Wiggenhorn, Katrin J. Svensson
Trends in Biochemical Sciences (2025)
Closed Access
mHPpred: Accurate identification of peptide hormones using multi-view feature learning
Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109297-109297
Closed Access | Times Cited: 2
Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109297-109297
Closed Access | Times Cited: 2
A deep learning method for classification of HNSCC and HPV patients using single-cell transcriptomics
Akanksha Jarwal, Anjali Dhall, Akanksha Arora, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 1
Akanksha Jarwal, Anjali Dhall, Akanksha Arora, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 1
Prediction of exosomal miRNA-based biomarkers for liquid biopsy
Akanksha Arora, Gajendra P. S. Raghava
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Akanksha Arora, Gajendra P. S. Raghava
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
CTD-Global (CTD-G): A novel composition, transition, and distribution based peptide sequence encoder for hormone peptide prediction
Hina Ghafoor, Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101578-101578
Open Access
Hina Ghafoor, Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101578-101578
Open Access
Transforming peptide hormone prediction: The role of AI in modern proteomics
Nguyen Quoc Khanh Le
PROTEOMICS (2024)
Open Access
Nguyen Quoc Khanh Le
PROTEOMICS (2024)
Open Access
An ensemble method for predicting and designing of druggable proteins.
Shipra Jain, Srijanee Gupta, Gajendra P. S. Raghava
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Shipra Jain, Srijanee Gupta, Gajendra P. S. Raghava
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
