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Multiple models were then generated using Modeller.
Residuals from these models were then used in subsequent analyses.
Models were then developed to eradicate such biases.
The twenty best CYANA models were then used for final structure calculations in AMBER51.
Existing multistep SDM process models were then rearticulated and contextualized to illustrate how a shared decision might be made.
Consensus gene models were determined by EVM66, and these models were then updated with PASA assembly alignments.
These two models were then combined to improve the accuracy of the facial landmark detection and tracking across videos.
The models were then subjected to iterative cycles of model building and refinement with Coot24 and PHENIX25.
These models were then extrapolated to actual drying conditions to assess their performance.
These models were, then, superimposed onto ab initio low-resolution SAXS structures.
These reduced models were then evaluated in terms of Parsimony, Exactness, Precision and Specialisation (PEPS).
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