4.6 Article

Matriarch: A Python Library for Materials Architecture

期刊

ACS BIOMATERIALS SCIENCE & ENGINEERING
卷 1, 期 10, 页码 1009-1015

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsbiomaterials.5b00251

关键词

hierarchical protein materials; building block; structure creation; category theory; molecular design; open-source software

资金

  1. AFOSR [FA9550-11-1-0199]
  2. ONR
  3. Research Science Institute (RSI) program
  4. ONR-PECASE [N000141010562]
  5. ARO
  6. NIH U01 [5U01EB016422, EB014976]
  7. BASF-NORA

向作者/读者索取更多资源

Biological materials, such as proteins, often have a hierarchical structure ranging from basic building blocks at the nanoscale (e.g., amino acids) to assembled structures at the macroscale (e.g., fibers). Current software for materials engineering allows the user to specify polypeptide chains and simple secondary structures prior to molecular dynamics simulation, but is not flexible in terms of the geometric arrangement of unequilibrated structures. Given some knowledge of a larger-scale structure, instructing the software to create it can be very difficult and time-intensive. To this end, the present paper reports a mathematical language, using category theory, to describe the architecture of a material, i.e., its set of building blocks and instructions for combining them. While this framework applies to any hierarchical material, here we concentrate on proteins. We implement this mathematical language as an open-source Python library called Matriarch. It is a domain-specific language that gives the user the ability to create almost arbitrary structures with arbitrary amino acid sequences and, from them, generate Protein Data Bank (PDB) files. In this way, Matriarch is more powerful than commercial software now available. Matriarch can be used in tandem with molecular dynamics simulations and helps engineers design and modify biologically inspired materials based on their desired functionality. As a case study, we use our software to alter both building blocks and building instructions for tropocollagen, and determine their effect on its structure and mechanical properties.

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