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Of course, these data are dependent on having accurate gene models and protein sequence alignments.
Gene models and protein sequences from O. sativa ssp.
Here, we review logic-based models, which represent a compromise between highly specified differential equation models and protein interaction graphs.
JW carried out all the proteomic informatic data analysis, DS, SF-M, IR-G obtained the samples, ran gels and performed all preparations and mass spectrometry, IVG and SEB calculated and supplied gene models and protein predictions.
In several cases, prediction ambiguities and cloning or sequencing errors have been uncovered, and refined gene models and protein sequence predictions have been obtained and used in further analysis (see the discussion below and Additional file 1. All Arabidopsis PLDs can be classified into two subfamilies (Fig. 1A).
In addition, we have created a gene prioritization module that combines different types of evidence based on GO term annotations, protein-protein interactions and co-complexes, Reactome pathway models, and protein functional similarity through a rank-based approach similar to that implemented in the MetaRanker method [ 38].
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Briefly, coding regions were predicted ab initio using the FGENESH program [50] and then confirmed by comparative analysis with annotated genes models and proteins in O. sativa cv.
Thanks to bioinformatic analyses, prediction of gene models and protein-coding transcripts has become feasible.
In general, our data is coherent with the hypothesis that miRNA genomic organization is more conserved than expected compared to both random models and protein-coding genes [ 40].
This research provides rules that could be applied to protein structure prediction, comparative modelling and protein engineering and design.
Finding the minimum energy amino acid side-chain conformation is a fundamental problem in both homology modeling and protein design.
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