Mahan Balooei
Computational Protein Biology · Protein Language Models · Machine Learning
MSc Bioinformatics, University of Bologna
I work on machine learning for proteins — protein language models, computational protein biology, and sequence–structure–function modelling. My recent work uses ESM-2 representations for sequence-function prediction, alongside HMMER/MMseqs2 workflows for protein domain annotation, built as reproducible machine-learning pipelines. I'm interested in learning-based methods for protein sequence, structure, function, and molecular interactions.
I am interested in PhD and research opportunities in protein machine learning, computational protein biology, and related areas.
Research Interests
- Protein language models and representation learning
- Protein sequence–structure–function modelling
- Protein–protein and protein–peptide interaction modelling
- Generative and structure-aware protein design
- Remote homology detection and functional annotation
Selected Publication
Mechanism-based Targeting of Lactate Dehydrogenase Tetramerization Process through Natural Derived Compounds: A Survey of Molecular Docking, Molecular Dynamics, and QSAR Analysis
Computers in Biology and Medicine, 2025 · Equal-contributing author
Computational screening and molecular-dynamics analysis of LDH tetramerization interfaces.
Paper →