The University of Manchester has used data-driven methods extensively to elucidate structure and function in complex systems, leading, for example, to a complete description of the human metabolic network.
Focusing on advanced quantitative approaches to specific biotechnology challenges at the interface between medicine and biology and the physical sciences, engineering, mathematics and computation the MIB enjoys a unique pluralistic and open research culture that is supported by world-class infrastructure. The establishment of multi-skilled interdisciplinary teams with critical mass generates unique capabilities that cannot be realised through virtual associations between PIs or research units to develop regional, national and international partnerships in biotechnology research.
Modelling and Data Science
The full breadth of computational methods are used, from density-functional theory (DFT) to molecular mechanics, and hybrid quantum-mechanics / molecular‐mechanics (QM/MM) approaches.
A large number of algorithms have also been developed that broadly fall into several areas:
- Analysis of gene/protein sequence data for genome mining and metabolic network analysis.
- Tools to aid the design for synthetic gene and proteins.
- Analysis of protein structure and function relationships in proteins and other biological molecules (e.g. solubility and stability).