Fatemeh Zare-Mirakabad

9PUBLICATIONS
15CO-AUTHORS
Context learningMicrobial geneticsCheminformatics and quantitative structure-activity relationshipsInnate immunityProteomics and metabolomics
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Publications (9)

|Aug 07, 2026
Which chemical features are captured by ChemBERTa's attention?

|Jun 28, 2026
Exploring feature limitations in antimicrobial resistance prediction: machine learning and deep learning in A. baumannii.

|Dec 24, 2025
SynergyGraph: predicting cell line specific drug combination synergy scores using knowledge graph representation and hypergraph modeling.

Maryam Mehrabani, Amir Lakizadeh, Alireza Fotuhi Siahpirani

|Nov 26, 2025
SiaScoreNet: a siamese neural network-based model integrating prediction scores for HLA-peptide interaction prediction.

Mahsa Saadat, Fatemeh Zare-Mirakabad, Milad Besharatifard

|Aug 29, 2025
SimPep and OP-AND: A deep learning framework and curated database for predicting osteogenic peptides.

Maryam Ghobakhloo, Zahra Ghorbanali, Fatemeh Zare-Mirakabad

|Dec 04, 2023
BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representation.

Mehdi Paykan Heyrati, Zahra Ghorbanali, Mohammad Akbari

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Frequent Collaborators

4 joint publications

Zahra Ghorbanali

2 joint publications

Ali Masoudi-Nejad

1 joint publications

Seyed Hassan Alavi

1 joint publications

Najmeh Salehi