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Structural Libraries of Protein Models for Multiple Species to Understand Evolution of the Renin-Angiotensin System
General and Comparative Endocrinology
  • Jeremy W. Prokop
  • Victoria Petri
  • Mary E. Shimoyama
  • Ingrid K. M . Watanabe
  • Dulce E. Casarini
  • Thomas C. Peeper, University of Akron Main Campus
  • Stephanie M. Bilinovich, University of Akron Main Campus
  • Howard J. Jacob
  • Robson A. S. Santos
  • Almir S. Martins
  • Fabiano C. Araujo
  • Fernando M. Reis
  • Amy Milsted, University of Akron Main Campus
Document Type
Article
Publication Date
5-1-2015
Disciplines
Abstract

The details of protein pathways at a structural level provides a bridge between genetics/molecular biology and physiology. The renin-angiotensin system is involved in many physiological pathways with informative structural details in multiple components. Few studies have been performed assessing structural knowledge across the system. This assessment allows use of bioinformatics tools to fill in missing structural voids. In this paper we detail known structures of the renin-angiotensin system and use computational approaches to estimate and model components that do not have their protein structures defined. With the subsequent large library of protein structures, we then created a species specific protein library for human, mouse, rat, bovine, zebrafish, and chicken for the system. The rat structural system allowed for rapid screening of genetic variants from 51 commonly used rat strains, identifying amino acid variants in angiotensinogen, ACE2, and AT1b that are in contact positions with other macromolecules. We believe the structural map will be of value for other researchers to understand their experimental data in the context of an environment for multiple proteins, providing pdb files of proteins for the renin-angiotensin system in six species. With detailed structural descriptions of each protein, it is easier to assess a species for use in translating human diseases with animal models. Additionally, as whole genome sequencing continues to decrease in cost, tools such as molecular modeling will gain use as an initial step in designing efficient hypothesis driven research, addressing potential functional outcomes of genetic variants with precompiled protein libraries aiding in rapid characterizations.

Citation Information
Jeremy W. Prokop, Victoria Petri, Mary E. Shimoyama, Ingrid K. M . Watanabe, et al.. "Structural Libraries of Protein Models for Multiple Species to Understand Evolution of the Renin-Angiotensin System" General and Comparative Endocrinology Vol. 215 (2015) p. 103 - 116
Available at: http://works.bepress.com/thomas_leeper/1/