A method for efficient Bayesian optimization of self-assembly systems from scattering data-Reference-Cited by-同舟云学术

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A method for efficient Bayesian optimization of self-assembly systems from scattering data

Published:2018-06-08 Issue:1 Volume:12 Page:
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Syst Biol

Author:

Thomas Marcus,Schwartz Russell^ORCID

Funder

National Institute of Biomedical Imaging and Bioengineering

National Cancer Institute

Pennsylvania Department of Health

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modelling and Simulation,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12918-018-0592-8.pdf

Reference58 articles.

1. Karr JR, Sanghvi JC, Macklin DN, Gutschow MV, Jacobs JM, Bolival B, Assad-Garcia N, Glass JI, Covert MW. A whole-cell computational model predicts phenotype from genotype. Cell. 2012; 150(2):389–401.

2. Le Novère N. Quantitative and logic modelling of molecular and gene networks. Nat Rev Genet. 2015; 16(3):146–58.

3. Zlotnick A. To build a virus capsid: an equilibrium model of the self assembly of polyhedral protein complexes. J Mol Biol. 1994; 241(1):59–67.

4. Schwartz R, Shor PW, Prevelige PE, Berger B. Local rules simulation of the kinetics of virus capsid self-assembly. Biophys J. 1998; 75(6):2626–36.

5. Rapaport D, Johnson J, Skolnick J. Supramolecular self-assembly: molecular dynamics modeling of polyhedral shell formation. Comput Phys Commun. 1999; 121:231–5.

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