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H. pylori interacts closely with epithelial cells, causing a variety of responses via diverse molecular interactions such as the release of cytokines capable of activating inflammatory cells.
Through spectroscopic investigations, molecular interactions such as hydrogen bonding and π π stacking of aromatic rings were found to induce the self-assembly of the molecule.
It can provide important information about molecular interactions (such as binding constant, number of binding sites, free energy, enthalpy, and entropy) simply by measuring the heat absorbed or released during an interaction between two liquid solutions.
Specific molecular interactions such as hydrogen bonding and phase segregation behavior from nanometer to micrometer length scale play key roles in the formation of self-organized liquid-crystalline structures exhibiting enhanced properties.
Mucins, the primary non-aqueous component of mucus, are polymers carrying a complex and heterogeneous structure with domains that undergo a variety of molecular interactions, such as hydrophilic/hydrophobic, hydrogen bonds and electrostatic interactions.
Translation initiation, the rate-limiting step of protein expression, is determined by several molecular interactions, such as the complementarity of the RBS sequence to 16S rRNA, the spacing between RBS and the start codon, and the presence of mRNA secondary structures (Salis et al. 2009).
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Thereby, COSMO-CAMD allows for the computationally efficient design of novel molecules even for problems involving molecules with complex molecular interaction such as fructose.
The molecular interactions are divided into two sets: quasi-steady state fluxes (QSSF), representing metabolic reactions; and dynamic transitions (DT), representing other classes of molecular interaction, such as signalling pathways and gene regulation.
Because the expression data itself do not provide a direct evidence for any type of molecular interaction, such as transcription regulation, protein-protein interaction or methylation, instead, these data provide dynamical information that are a consequence of the aforementioned interactions.
We have accumulated data from different levels of molecular interaction such as genetic information using knock-out mice and single nucleotide polymorphisms (SNPs), gene regulatory and gene expression information as well as information on protein signaling and protein interactions.
This would also result in the loss of structurally important intra-molecular interactions, such as the R829 E1188 salt bridge.
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