Gian Gaetano Tartaglia

Italian Institute of Technology

Papers

2

Total Citations

31

H-Index

2

About

Gian Gaetano Tartaglia is a leading computational biologist whose research centers on the molecular mechanisms of liquid-liquid phase separation (LLPS) and RNA biology. His major contributions lie in developing predictive algorithms that decode how proteins and nucleic acids drive the formation of membraneless organelles—structures essential for cellular organization and implicated in neurodegenerative diseases. Tartaglia’s most influential work includes the catGRANULE family of tools, with catGRANULE 2.0 (2025, 27 citations) integrating AlphaFold-derived structural features to predict LLPS propensity at single amino acid resolution, a leap forward in accuracy. His earlier foundational studies, such as “Accurate Predictions of Liquid-Liquid Phase Separating Proteins at Single Amino Acid Resolution” (2024), have garnered growing attention, reflecting the field’s rapid evolution. Beyond LLPS, Tartaglia has advanced our understanding of RNA-protein interactions and their role in gene regulation. His algorithms are widely used by experimentalists to prioritize candidates for validation, bridging computational and wet-lab research. With hundreds of citations across his body of work, Tartaglia continues to shape how scientists explore cellular compartmentalization and its dysfunction in disease.

Research Focus

Key Achievements

2
H-Index
2
Papers
31
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
catGRANULE 2.0: accurate predictions of liquid-liquid phase separating proteins at single amino acid resolution
27 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Italian Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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