Current Research

KAUST CEMSE CS SFB Automating Nuclear Magnetic Resonance
Automating Nuclear Magnetic Resonance (NMR) protein structure determination

The SFB group aims to develop automatic tools to accelerate the NMR protein structure determination process, which involves peak picking, resonance assignment, NOE assignment, and structure calculation.

KAUST CEMSE CS SFB Modeling Biological Systems
Model, analyze, and control complex biological and biochemical systems

Modeling biological systems. The SFB group aims to model, analyze, and control complex biological systems, such as protein-protein interaction networks, and biochemical systems, such as biochemical reaction networks and gene delivery systems.

KAUST CEMSE CS SFB Comparative Genomics
Genome-scale domain identification, domain function annotation, domain shuffling

The SFB group aims to study comparative genomics from the protein domain level. We are interested in developing efficient algorithms for genome-scale domain identification, domain function annotation, and detecting tentative novel domains and shuffling domains.

KAUST CEMSE CS SFB Protein Structure Prediction
Ab initio protein 3D structure prediction

Protein structure prediction. The SFB group aims to model the high-dimensional protein angle space, model protein loops and side-chains, and design statistical measurement for model assessment.

KAUST CEMSE CS SFB Modeling Machine learning
Machine learning methods for biological problems

The SFB group aims to develop and apply machine learning methods to model biological systems.