In the SAMANO Lab we study how proteins interact to each other. In particular, we are interested in how secreted proteins from pathogens evolve functional sites.

We combine evolution, computational structural biology and wet lab methods to predict and validate protein-protein interactions and functions.

Our group just started at the end of 2024 so we are recruiting at all levels, visit our recruitment page.

Research themes

• Computational biology
• Structural biology
• Host-microbe interactions

Computational Infection Biology

The core question being explored in our research is how cutting-edge computational structural biology approaches can help predict and assess protein-protein interactions testable in wet lab experiments with a minimum false positive rate.

To achieve this, evolutionary patterns, big data, AI-based algorithms and experimental validations are organically integrated.

General Interests

• Evolution

• Protein bioinformatics

• Structural biology

• Algorithm development

• Host-pathogen interactions

Methods

• Positive selection

• Phylogenetic analysis

• Protein modelling

• AI-based (AlphaFold, etc. )

• Molecular dynamics

• Protein docking

• Stability assessment

• Tool/approach benchmarking

Contact: samano@intl.zju.edu.cn

Twitter: @hugocarloss__