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

Tamò, G. and Maesani, A. and Träger, S. and Degiacomi, M.T. and Floreano, D. and Dal Peraro, Matteo (2017) 'Disentangling constraints using viability evolution principles in integrative modeling of macromolecular assemblies.', Scientific reports., 7 (1). p. 235.


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.

Item Type:Article
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Date accepted:14 February 2017
Date deposited:02 August 2017
Date of first online publication:22 March 2017
Date first made open access:02 August 2017

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