3,960 research outputs found
Direct visualization reveals dynamics of a transient intermediate during protein assembly
Interactions between proteins underlie numerous biological functions. Theoretical work suggests that protein interactions initiate with formation of transient intermediates that subsequently relax to specific, stable complexes. However, the nature and roles of these transient intermediates have remained elusive. Here, we characterized the global structure, dynamics, and stability of a transient, on-pathway intermediate during complex assembly between the Signal Recognition Particle (SRP) and its receptor. We show that this intermediate has overlapping but distinct interaction interfaces from that of the final complex, and it is stabilized by long-range electrostatic interactions. A wide distribution of conformations is explored by the intermediate; this distribution becomes more restricted in the final complex and is further regulated by the cargo of SRP. These results suggest a funnel-shaped energy landscape for protein interactions, and they provide a framework for understanding the role of transient intermediates in protein assembly and biological regulation
Molecular dynamics simulation of polymer helix formation using rigid-link methods
Molecular dynamics simulations are used to study structure formation in
simple model polymer chains that are subject to excluded volume and torsional
interactions. The changing conformations exhibited by chains of different
lengths under gradual cooling are followed until each reaches a state from
which no further change is possible. The interactions are chosen so that the
true ground state is a helix, and a high proportion of simulation runs succeed
in reaching this state; the fraction that manage to form defect-free helices is
a function of both chain length and cooling rate. In order to demonstrate
behavior analogous to the formation of protein tertiary structure, additional
attractive interactions are introduced into the model, leading to the
appearance of aligned, antiparallel helix pairs. The simulations employ a
computational approach that deals directly with the internal coordinates in a
recursive manner; this representation is able to maintain constant bond lengths
and angles without the necessity of treating them as an algebraic constraint
problem supplementary to the equations of motion.Comment: 15 pages, 14 figure
Intermediates in the Protein Folding Process: A Computational Model
The paper presents a model for simulating the protein folding process in silico. The two-step model (which consists of the early stage—ES and the late stage—LS) is verified using two proteins, one of which is treated (according to experimental observations) as the early stage and the second as an example of the LS step. The early stage is based solely on backbone structural preferences, while the LS model takes into account the water environment, treated as an external hydrophobic force field and represented by a 3D Gauss function. The characteristics of 1ZTR (the ES intermediate, as compared with 1ENH, which is the LS intermediate) confirm the link between the gradual disappearance of ES characteristics in LS structural forms and the simultaneous emergence of LS properties in the 1ENH protein. Positive verification of ES and LS characteristics in these two proteins (1ZTR and 1ENH respectively) suggest potential applicability of the presented model to in silico protein folding simulations
Extending fragment-based free energy calculations with library Monte Carlo simulation: Annealing in interaction space
Pre-calculated libraries of molecular fragment configurations have previously
been used as a basis for both equilibrium sampling (via "library-based Monte
Carlo") and for obtaining absolute free energies using a polymer-growth
formalism. Here, we combine the two approaches to extend the size of systems
for which free energies can be calculated. We study a series of all-atom
poly-alanine systems in a simple dielectric "solvent" and find that precise
free energies can be obtained rapidly. For instance, for 12 residues, less than
an hour of single-processor is required. The combined approach is formally
equivalent to the "annealed importance sampling" algorithm; instead of
annealing by decreasing temperature, however, interactions among fragments are
gradually added as the molecule is "grown." We discuss implications for future
binding affinity calculations in which a ligand is grown into a binding site
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