3BIO-BioInfo

Computational Biology and Bioinformatics Research Lab

3BIO-BioInfo

We develop bioinformatic tools using artificial intelligence, machine learning, data analysis, statistical physics, stochastic modelling and quantum chemistry for applications in biology, biotechnology and medicine.

About Us

We focus on developing bioinformatics tools and computational approaches to address key challenges in biology, biotechnology, and medicine. Integrating balanced theoretical foundations with fundamental biological principles, we strive to translate complex data into meaningful scientific insights.

Research Areas

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Artificial Intelligence & Machine Learning

Design neural networks and supervised/unsupervised learning algorithms for biological data analysis.

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Biophysics of Mutations

Predicting protein stability, solubility, and binding affinity changes due to mutations using computational methods.

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DNA Ionisation

Computational studies of ionization potential of nucleic acid bases and their biological implications.

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Epitope Prediction

Predicting B-cell and T-cell epitopes for rational vaccine design and antibody engineering.

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Prediction of B-cell Epitopes for Vaccine Design

Our lab develops computational methods for predicting B-cell epitopes, which are crucial for rational vaccine design and …

Computational Research

Prediction of Disease-Causing Variants in the Human Genome

We develop computational tools to predict the pathogenicity of genetic variants, helping to identify disease-causing …

Computational Research

Rational Design of Modified Proteins

Our research focuses on the rational design of proteins with modified properties, utilizing computational methods to …

Computational Research
F

Fabrizio PUCCI

Head of BioInfo, Professor
M

Marianne ROOMAN

Professor & FNRS Research Director
D

Dimitri GILIS

Professor and Faculty Dean
60+
Publications
3+2+4
Team Members
5+
Research Areas
10+
Years of Research