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Recently, Nagarajan and Gromiha (2014) analyzed the performance of various methods for identifying the binding sites in protein-RNA complexes based on protein structural class, fold, family, superfamily, function, RNA structure, and conformation.
A new strategy for the rapid identification of new malaria antigens based on protein structural motifs was previously described.
Several secondary databases are developed based on protein structural coordinates derived from the PDB.
Based on protein structural analysis and immunomicroscopy, it has been suggested that the cell compartmentalization machinery in these bacteria is similar to that utilized by eukaryotes, raising the possibility that organisms ancestral to the PVC superphylum contributed to eukaryogenesis (Santarella-Mellwig et al. 2010).
We have used two new empirical models of mitochondrial amino acid evolution, MtZoa and MtHydro and recompiled MrBayes substituting these new models for existing ones [ 31], Rota-Stabelli OO, Horner D, Telford MJ: MtHydro: a partitioned model for mitogenomics studies based on protein structural information, submitted).
The two models, in particular MtHydro, fit many mitochondrial datasets and in particular deuterostome datasets, better than MtREV Rota-Stabelli OO, Horner D, Telford MJ: MtHydro: a partitioned model for mitogenomics studies based on protein structural information, submitted), [ 31] (see materials and methods for more details).
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The A-D image is first constructed based on protein secondary structural information, and is then separated into three different sub-images focusing on various types of SSEs.
TRs belong to a superfamily of transcription factors called nuclear receptor (NR) superfamily, based on protein sequence similarities, structural motifs and functionality [ 1].
In the last decade, there have been a number of computational approaches developed to predict protein-DNA binding sites based on protein sequence and/or structural information.
Various machine learning methods have been applied and different kinds of features based on protein sequence and/or structural information have been used.
These methods make their prediction based on protein sequence and/or structural information as well as physiochemical property of amino acid for phenotype prediction.
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