2007
DOI: 10.1002/bip.20880
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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 suf… Show more

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Cited by 1 publication
(2 citation statements)
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References 39 publications
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“…Within these regions, pairwise residue sites (Table I) were selected for placement of the SS‐bonds to hinder thermal unraveling of the molecule. The selection of sites was also guided by a previous simulation study of RTA and the truncated chain using a coarse‐grained lattice model 15. The starting modeled structure of the RTA immunogen was built from the PDB structure 1RTC13 and crystallographic waters were deleted.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Within these regions, pairwise residue sites (Table I) were selected for placement of the SS‐bonds to hinder thermal unraveling of the molecule. The selection of sites was also guided by a previous simulation study of RTA and the truncated chain using a coarse‐grained lattice model 15. The starting modeled structure of the RTA immunogen was built from the PDB structure 1RTC13 and crystallographic waters were deleted.…”
Section: Methodsmentioning
confidence: 99%
“…A recent computational study of the thermal unfolding of RTA1‐33/44‐198 using coarse‐grained lattice models with all‐atom reconstruction and molecular‐dynamics (MD) simulations predicted pockets of hypermobility 15. Identification of specific regions of local disorder during unfolding provides a rational basis for the follow‐on strategy of introducing precisely localized disulfide (SS‐) bonds to improve RTA1‐33/44‐198.…”
Section: Introductionmentioning
confidence: 99%