Computational Biology & Biophysics
We combine molecular simulations, bioinformatics and machine learning to study biomolecular interactions and develop computational solutions for biotechnology and research.
Molecular dynamics, docking and numerical simulations to investigate biomolecular interactions and mechanisms.
Learn more →Statistical models and machine learning approaches for biological data analysis and prediction.
Learn more →Computational analysis of biological sequences, evolutionary relationships and molecular features.
Learn more →Custom platforms and interactive tools to transform complex analyses into accessible solutions.
Learn more →Scientific Software
We develop custom web platforms and interactive tools that make advanced computational workflows accessible to researchers and biotechnology companies.
Explore our projectsPublications
2025 · Bioinformatics Advances
A web-based tool for measuring molecular surface complementarity at protein–protein interfaces using structural information and Zernike polynomial analysis.
View publication →2022 · Communications Biology
Molecular dynamics simulations to characterize how spike protein mutations affect ACE2 binding stability, interface interactions and molecular properties.
View publication →2022 · ACS Omega
Molecular dynamics simulations combined with statistical mechanical approaches to investigate folding–unfolding thermodynamics of protein mutants.
View publication →