Peptide-MHC I binding affinity prediction

Tools for programming chemical reaction networks (CRN), DNA strand-displacement circuits (DSD) and genetically engineered circuits (GEC).

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, …

learning state-space targets in dynamical systems

Code supplementary for Grant P. et al. 2020. Interpretation of morphogen gradients by a bistable circuit

Variational inference for hierarchical dynamical systems

genCRN: Fast enumeration of non-isomorphic chemical reaction networks

Figures and data for "Synthesising and tuning chemical reaction networks with specified behaviours"