Unique analysis steps of the workflow described in the document "Modeling the ThiI-tRNA Interaction" were allocated to individual sub-documents to give a concise overview. This document covers the sixth part: "Non Linear Least Squares Regression".

Unique analysis steps of the workflow described in the document "Modeling the ThiI-tRNA Interaction" were allocated to individual sub-documents to give a concise overview. This document covers the fifth part: "Analysis of Variance (ANOVA)".

Unique analysis steps of the workflow described in the document "Modeling the ThiI-tRNA Interaction" were allocated to individual sub-documents to give a concise overview. This document covers the fourth part: "Complete k-Fold Cross-validation".

Unique analysis steps of the workflow described in the document "Modeling the ThiI-tRNA Interaction" were allocated to individual sub-documents to give a concise overview. This document covers the third part: "Kullback-Leibler Divergence Analysis".

Unique analysis steps of the workflow described in the document "Modeling the ThiI-tRNA Interaction" were allocated to individual sub-documents to give a concise overview. This document covers the second part: "Parameter Identifiability Analysis".

Unique analysis steps of the workflow described in the document "Modeling the ThiI-tRNA Interaction" were allocated to individual sub-documents to give a concise overview. This document covers the first part: "Non Linear Least Squares Regression".

The following content provides an excerpt from a larger scientific work in the field of molecular structural biochemistry focusing on post-transcriptional transfer RNA modifications. It highlights the statistical modeling of the interaction between the 4-thiouridine synthetase ThiI and one of its target tRNA substrates in order to unravel the underlying stoichiometry of the complex that is formed. A comparative multi-model approach is presented aimed at finding the statistically best approximating binding model of this interaction in a set of alternative binding models all related to underlying 1:1 or 1:2 binding equilibria. The analytic workflow comprises ordinary non-linear least squares regression, model validation based on maximum likelihood profiling, model evaluation procedures such as Kullback-Leibler divergence analysis and cross validation, as well as generic and robust ANOVA approaches.