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The present paper describes the theoretical principles underlying such as electric and fluid field, and describes a simple mechanical analysis based on molecular dynamics for capturing of the flowing cells.
Computational methods for predicting ligand affinity where no protein structure is known generally take the form of regression analysis based on molecular features that have only a tangential relationship to a protein/ligand binding event.
The 1197 genes (550 Unigenes and genes corresponding to 647 clusters) with known putative molecular function were combined and subjected to ontology analysis based on molecular and cellular functions.
Functional modules were identified by gene ontology (GO) enrichment analysis based on molecular complex detection (MCODE).
Network analysis based on molecular interactions suggests a potential role of these 56 genes in tissue differentiation and carcinogenesis.
Coalescent analysis, based on molecular data and ecological niche modelling during the Last Glacial Maximum (LGM), were used to infer past population dynamics.
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Computational analysis based on a molecular docking approach underlined the potential structural requirements for simultaneously targeting both proteins' allosteric sites.
The analysis based on the molecular function showed that mRNA species encoded for proteins that are involved in mitochondrial electron transport, protein biosynthesis, myelination, protein folding and degradation, cytoskeleton, tricarboxylic acid cycle and glycolysis, were more susceptible to oxidation.
We selected 24 genes for analysis based on predicted molecular function and on relative abundance of sequencing reads.
Microbial community analysis based on 16s rDNA molecular approach indicated that the dominant ammonia oxidizing bacteria (AOB) group in the system was a β-class ammonia oxidizer which was identified as uncultured sludge bacterium (AF234732).
A cladistic analysis based on morphological and molecular characters suggests cylindroleberidids are a monophyletic clade within the Myodocopa [4].
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