NMR paper Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.

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[NMR paper] Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.

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NMR processing:

MDD

NMR assignment:

Backbone:

Side-chains:

NOEs:

Structure from NMR restraints:

Ab initio:

Fragment-based:

Rosetta-NMR (Robetta)

Template-based:

GeNMR

I-TASSER

Refinement:

Amber

Structure from chemical shifts:

Fragment-based:

Homology-based:

Torsion angles from chemical shifts:

Preditor

TALOS

Promega- Proline

Secondary structure from chemical shifts:

CSI (via RCI server)

TALOS

MICS caps, β-turns

d2D

PECAN

Flexibility from chemical shifts:

RCI

Interactions from chemical shifts:

HADDOCK

Chemical shifts re-referencing:

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NOEs, other restraints:

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RDCs:

Pseudocontact shifts:

Protein geomtery:

SAVES2 or SAVES4

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NMR spectrum prediction:

FANDAS

MestReS

V-NMR

Flexibility from structure:

Backbone S2

Methyl S2

B-factor

Molecular dynamics:

Gromacs

Amber

Antechamber

Chemical shifts prediction:

From structure:

Shiftx2

Sparta+

Camshift

CH3shift- Methyl

ArShift- Aromatic

ShiftS

Proshift

PPM

CheShift-2- Cα

From sequence:

Shifty

Camcoil

Poulsen_rc_CS

Disordered proteins:

MAXOCC

Format conversion & validation:

CCPN

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Protein disorder:

DisMeta

Protein solubility:

Isotope labeling:

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09-07-2014, 12:36 PM

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Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.

Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.

Related Articles Equilibrium simulations of proteins using molecular fragment replacement and NMR chemical shifts.

Proc Natl Acad Sci U S A. 2014 Sep 5;

Authors: Boomsma W, Tian P, Frellsen J, Ferkinghoff-Borg J, Hamelryck T, Lindorff-Larsen K, Vendruscolo M

Abstract
Methods of protein structure determination based on NMR chemical shifts are becoming increasingly common. The most widely used approaches adopt the molecular fragment replacement strategy, in which structural fragments are repeatedly reassembled into different complete conformations in molecular simulations. Although these approaches are effective in generating individual structures consistent with the chemical shift data, they do not enable the sampling of the conformational space of proteins with correct statistical weights. Here, we present a method of molecular fragment replacement that makes it possible to perform equilibrium simulations of proteins, and hence to determine their free energy landscapes. This strategy is based on the encoding of the chemical shift information in a probabilistic model in Markov chain Monte Carlo simulations. First, we demonstrate that with this approach it is possible to fold proteins to their native states starting from extended structures. Second, we show that the method satisfies the detailed balance condition and hence it can be used to carry out an equilibrium sampling from the Boltzmann distribution corresponding to the force field used in the simulations. Third, by comparing the results of simulations carried out with and without chemical shift restraints we describe quantitatively the effects that these restraints have on the free energy landscapes of proteins. Taken together, these results demonstrate that the molecular fragment replacement strategy can be used in combination with chemical shift information to characterize not only the native structures of proteins but also their conformational fluctuations.

PMID: 25192938 [PubMed - as supplied by publisher]

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