Coarse-Grained Lattice Model Simulations of Sequence-Structure Fitness of a Ribosome-Inactivating Protein

Abstract

Many realistic protein-engineering design problems extend beyond the computational limits of what is considered practical when applying all-atom molecular dynamics simulation methods. Lattice models provide computationally robust alternatives, yet most are regarded as too simplistic to accurately capture the details of complex designs. We revisit a coarse-grained lattice simulation model and demonstrate that a multiresolution modeling approach of reconstructing all-atom structures from lattice chains is of sufficient accuracy to resolve the comparability of sequence-structure modifications of the ricin A-chain (RTA) protein fold. For a modeled structure, the unfolding-folding transition temperature was calculated from the heat capacity using either the potential energy from the lattice model or the all-atom CHARMM19 force-field plus a generalized Born solvent approximation. We found, that despite the low-resolution modeling of conformational states, the potential energy functions were capable of detecting the relative change in the thermodynamic transition temperature that distinguishes between a protein design and the native RTA fold in excellent accord with reported experimental studies of thermal denaturation. A discussion is provided of different sequences fitted to the RTA fold and a possible unfolding model.

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Document Details

Document Type
Technical Report
Publication Date
Nov 05, 2007
Accession Number
ADA593508

Entities

People

  • In-Chul Yeh
  • Mark A Olson
  • Michael S. Lee

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biopolymers
  • Biotechnology
  • Computational Science
  • Energy
  • Free Energy
  • Heat Capacity
  • Information Science
  • Low Resolution
  • Molecular Dynamics
  • Molecules
  • Multiscale Modeling
  • Potential Energy
  • Sequences
  • Simulations
  • Thermodynamic Properties
  • Transitions
  • Two Dimensional

Readers

  • Computational Modeling and Simulation
  • Molecular and Cellular Biochemistry
  • Quantum Chemistry

Technology Areas

  • Biotechnology