Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assemblies

Predicting the structure of large molecular assemblies remains a challenging task in structural biology when using integrative modeling approaches. One of the main issues stems from the treatment of heterogeneous experimental data used to predict the architecture of native complexes. We propose a new method, applied here for the first time to a set of symmetrical complexes, based on evolutionary computation that treats every available experimental input independently, bypassing the need to balance weight components assigned to aggregated fitness functions during optimization.


Publié dans:
Scientific Reports, 7, 235
Année
2017
Publisher:
London, Nature Publishing Group
Mots-clefs:
Laboratoires:




 Notice créée le 2017-03-24, modifiée le 2018-12-03


Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)