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We propose here a molecular model that accounts for periodic calcium spiking induced by a constant stimulus.
Here, we propose a molecular model that reflects the essential features of the Drosophila circadian clock to clarify the different roles of negative and positive feedback loops.
This report is the first to present a multi-purposed, molecule-based molecular model that can characterize as many as 24 different human tissue types.
Our data show a strong effect of the polymorphism on the response of the OPN gene to estrogen, and the in vitro and in vivo data presented are consistent with a novel molecular model that explains the effects of OPN on muscle remodeling.
We identified a pair of paralogous aspartic proteases in S. ratti (which we term ASP-2A and ASP-2B) that have arisen as a result of a recent duplication event but for which ASP-2A is highly expressed in parasitic females while ASP-2B is highly expressed in free-living females, and we present a molecular model that allows this pair of paralogous genes to be placed in a structural context.
In order to elucidate the effects of phase fraction, recovery temperature, and deformation temperature on shape recovery, here we investigate the shape-memory behavior in a copolymer model with coarse-grained potentials using a two-phase molecular model that reproduces physical crosslinking.
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This review also examines progress toward the goal of achieving a comprehensive understanding of the chemical and physical basis for molecular recognition of viral surface proteins in order to build predictive molecular models that can be used for vaccine design.
In this work, transport properties of monomethylamine, dimethylamine, dimethylether and hydrogen chloride are predicted by molecular simulation, employing rigid, non-polarizable molecular models that were developed without using any transport property information.
Here, we describe a bottom-up approach to design two computationally mutated molecular models that use non-covalent interactions to cross-link triple helices of tropocollagen molecules and thus promote self-association.
These differences have been interpreted on the basis of DFT (B3LYP/6-311++G**) conputationsuitabletable molecular models that allowed a qualitative and quantitative rationalization of the chemical physical effects involved.
Based on the crystallographic analysis of TIFF3 there are 3 different molecular models that slightly vary in their inter-domain configuration.
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