Protein structure characterization is fundamental to understand protein properties, such as folding process and protein resistance to thermal stress, up to unveiling organism pathologies (e.g., prion disease). In this chapter, we provide an overview on how the spectral properties of the networks reconstructed from the Protein Contact Map (PCM) can be used to generate informative observables. As a specific case study, we apply two different network approaches to an example protein dataset, for the aim of discriminating protein folding state, and for the reconstruction of protein 3D structure.
Merlotti, A., Menichetti, G., Fariselli, P., Capriotti, E., Remondini, D. (2021). Network-based strategies for protein characterization. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY, 127, 217-248 [10.1016/bs.apcsb.2021.05.001].
Network-based strategies for protein characterization
Merlotti A.;Capriotti E.;Remondini D.
2021
Abstract
Protein structure characterization is fundamental to understand protein properties, such as folding process and protein resistance to thermal stress, up to unveiling organism pathologies (e.g., prion disease). In this chapter, we provide an overview on how the spectral properties of the networks reconstructed from the Protein Contact Map (PCM) can be used to generate informative observables. As a specific case study, we apply two different network approaches to an example protein dataset, for the aim of discriminating protein folding state, and for the reconstruction of protein 3D structure.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
