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Journal Articles
- 2024
[j6]Shahin Ramazi, Seyed Amir Hossein Tabatabaei, Elham Khalili, Amirhossein Golshan Nia, Kiomars Motarjem:
Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences. Database J. Biol. Databases Curation 2024 (2024)- 2023
- [j5]Mahdi Pourmirzaei, Shahin Ramazi, Farzaneh Esmaili, Seyedehsamaneh Shojaeilangari
, Abdollah Allahvardi:
Machine learning-based approaches for ubiquitination site prediction in human proteins. BMC Bioinform. 24(1): 449 (2023) - [j4]Farzaneh Esmaili, Mahdi Pourmirzaei, Shahin Ramazi, Seyedehsamaneh Shojaeilangari, Elham Yavari:
A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Site Prediction. Genom. Proteom. Bioinform. 21(6): 1266-1285 (2023) - 2022
- [j3]Elham Khalili, Shahin Ramazi, Faezeh Ghanati, Samaneh Kouchaki:
Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network. Briefings Bioinform. 23(2) (2022) - [j2]Shahin Ramazi, Neda Mohammadi, Abdollah Allahverdi, Elham Khalili, Parviz Abdolmaleki:
A review on antimicrobial peptides databases and the computational tools. Database J. Biol. Databases Curation 2022(2022) (2022) - 2021
- [j1]Shahin Ramazi, Javad Zahiri:
Post-translational modifications in proteins: resources, tools and prediction methods. Database J. Biol. Databases Curation 2021 (2021)
Informal and Other Publications
- 2021
- [i1]Farzaneh Esmaili, Mahdi Pourmirzaei, Shahin Ramazi, Elham Yavari:
A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction. CoRR abs/2108.04951 (2021)
Coauthor Index
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