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Coarse‐grained lattice model simulations of sequence‐structure fitness of a ribosome‐inactivating protein
Author(s) -
Olson Mark A.,
Yeh InChul,
Lee Michael S.
Publication year - 2008
Publication title -
biopolymers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 125
eISSN - 1097-0282
pISSN - 0006-3525
DOI - 10.1002/bip.20880
Subject(s) - chemistry , protein structure prediction , protein folding , lattice (music) , statistical physics , molecular dynamics , force field (fiction) , protein structure , chemical physics , thermodynamics , biological system , physics , computational chemistry , quantum mechanics , biochemistry , acoustics , biology
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. © 2007 Wiley Periodicals, Inc. Biopolymers 89: 153–159, 2008. This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com