ArticleProtein science : a publication of the Protein Society2018
Combining protein sequence, structure, and dynamics: A novel approach for functional evolution analysis of PAS domain superfamily.
Article in Protein science : a publication of the Protein Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 16 citations in OpenAlex.
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- Structural bioinformatics enhances the interpretation of somatic mutations in KDM6A found in human cancers.Computational and structural biotechnology journal · 2022Article
- Protein ensembles link genotype to phenotype.PLoS computational biology · 2019Review
- Allosteric mechanism of the circadian protein Vivid resolved through Markov state model and machine learning analysis.PLoS computational biology · 2019Article
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3 authors at 1 institution in 1 country.
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Abstract
PAS domains are widespread in archaea, bacteria, and eukaryota, and play important roles in various functions. In this study, we aim to explore functional evolutionary relationship among proteins in the PAS domain superfamily in view of the sequence-structure-dynamics-function relationship. We collected protein sequences and crystal structure data from RCSB Protein Data Bank of the PAS domain superfamily belonging to three biological functions (nucleotide binding, photoreceptor activity, and transferase activity). Protein sequences were aligned and then used to select sequence-conserved residues and build phylogenetic tree. Three-dimensional structure alignment was also applied to obtain structure-conserved residues. The protein dynamics were analyzed using elastic network model (ENM) and validated by molecular dynamics (MD) simulation. The result showed that the proteins with same function could be grouped by sequence similarity, and proteins in different functional groups displayed statistically significant difference in their vibrational patterns. Interestingly, in all three functional groups, conserved amino acid residues identified by sequence and structure conservation analysis generally have a lower fluctuation than other residues. In addition, the fluctuation of conserved residues in each biological function group was strongly correlated with the corresponding biological function. This research suggested a direct connection in which the protein sequences were related to various functions through structural dynamics. This is a new attempt to delineate functional evolution of proteins using the integrated information of sequence, structure, and dynamics.
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