Alexandros Armaos
Papers
2
Total Citations
31
H-Index
2
About
Alexandros Armaos is a leading computational biologist whose research centers on the molecular mechanisms of liquid-liquid phase separation (LLPS) and its role in cellular organization and disease. His major contributions lie in developing cutting-edge predictive tools that decode how proteins drive the formation of membraneless organelles. Armaos is best known for creating **catGRANULE 2.0**, a groundbreaking algorithm that integrates physicochemical properties with AlphaFold-derived structural features to predict LLPS-prone proteins and their critical regions at single amino acid resolution. This work, published in 2025 and already garnering 27 citations, represents a significant leap in accuracy and mechanistic insight. His earlier 2024 paper on the same topic, with 4 citations, laid the foundation for this advance. By enabling precise identification of phase-separating protein domains, Armaos’s research provides a vital framework for understanding neurodegenerative diseases and cancers linked to LLPS dysregulation. His work stands at the forefront of computational biology, bridging structural prediction and cellular biophysics to illuminate a fundamental organizing principle of the cell.
Research Focus
Key Achievements
Top Papers
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