Design of Protein Biomaterials Through Tailored Shape and Packing Strategies of Patchy Particles

Abstract

Major Goals: Under this effort, PIs Glotzer and Ellington aim to apply their understanding of the assembly of model colloids to the design of a biomaterial with defined functionality. They will apply advanced understanding of shape, packing, and assembly of hard shapes and patchy (anisotropically interacting) nanoparticles (Glotzer) to create protein-based aggregates (Ellington). Using fluorescent proteins as a model system, we will predict specific surface substitutions that will lead to thermodynamically stable packings that can be engineered and validatedusing biophysical methods. In the first reporting period the Ellington group observed the assembly of well-defined, symmetric protein 16mers(termed protomers) from oppositely charged green fluorescent protein (GFP) derivates. We were able to rationalize the stability of the observed structures using a novel computational model parameterizing the protein shape and attractive patches. In the second reporting period the main objective was to predict the self-assembly of those structures from minimal models in computer simulation, before these are realized in the lab. One of the first steps will be to test whether our model is capable of predicting the effect of mutations in order to disrupt oligomer formation. Corresponding mutagenesis experiments will be carried out in the Ellington group. We will investigate whether it is possible to predict the pathway to protomer formation via coarse grained Molecular Dynamics and/or Monte Carlo simulations of charged monomers. Predicting pathways of self-assembly for realistic models of biomolecules into higher order structures represents a major challenge in the field and would enable us to explore the predictive design of biomaterials from protein building blocks with defined functionality. A purely computational goal of this grant is to elucidate pathways to protein crystal formation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 14, 2018
Accession Number
AD1081461

Entities

People

  • Sharon Glotzer

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Assembly
  • Biomaterials
  • Chemical Engineering
  • Chemistry
  • Computational Chemistry
  • Computer Simulations
  • Critical Temperature
  • Crystal Structure
  • Crystals
  • Engineering
  • Manufacturing
  • Materials
  • Materials Science
  • Molecular Dynamics
  • Particles
  • Self Assembly
  • Simulations

Readers

  • Computational Modeling and Simulation
  • Molecular Genetics
  • Nanocomposite Materials Science

Technology Areas

  • Biotechnology