Post-translational modifications in proteins: resources, tools and prediction methods. - Shahin Ramazi; Javad Zahiri (Database J. Biol. Databases Curation, 2021)

A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction. - Farzaneh Esmaili; Mahdi Pourmirzaei; Shahin Ramazi; Elham Yavari (CoRR, 2021)

Predicting protein phosphorylation sites in soybean using interpretable deep tabular learning network. - Elham Khalili; Shahin Ramazi; Faezeh Ghanati; Samaneh Kouchaki (Briefings Bioinform., 2022)

A review on antimicrobial peptides databases and the computational tools. - Shahin Ramazi; Neda Mohammadi; Abdollah Allahverdi; Elham Khalili; Parviz Abdolmaleki (Database J. Biol. Databases Curation, 2022)

A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Site Prediction. - Farzaneh Esmaili; Mahdi Pourmirzaei; Shahin Ramazi; Seyedehsamaneh Shojaeilangari; Elham Yavari (Genom. Proteom. Bioinform., 2023)

Machine learning-based approaches for ubiquitination site prediction in human proteins. - Mahdi Pourmirzaei; Shahin Ramazi; Farzaneh Esmaili; Seyedehsamaneh Shojaeilangari; Abdollah Allahvardi (BMC Bioinform., 2023)

Analysis and review of techniques and tools based on machine learning and deep learning for prediction of lysine malonylation sites in protein sequences. - Shahin Ramazi; Seyed Amir Hossein Tabatabaei; Elham Khalili; Amirhossein Golshan Nia; Kiomars Motarjem (Database J. Biol. Databases Curation, 2024)