A structural systems biology approach for quantifying the systemic consequences of missense mutations in proteins.

ABSTRACT: Gauging the systemic effects of non-synonymous single nucleotide polymorphisms (nsSNPs) is an important topic in the pursuit of personalized medicine. However, it is a non-trivial task to understand how a change at the protein structure level eventually affects a cell's behavior. This is because complex information at both the protein and pathway level has to be integrated. Given that the idea of integrating both protein and pathway dynamics to estimate the systemic impact of missense mutations in proteins remains predominantly unexplored, we investigate the practicality of such an approach by formulating mathematical models and comparing them with experimental data to study missense mutations. We present two case studies: (1) interpreting systemic perturbation for mutations within the cel

SUBMITTER: Cheng TM 

PROVIDER: S-EPMC3475653 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature