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Kaoru Fukami-Kobayashi

Researcher at National Institute of Genetics

Publications -  18
Citations -  1117

Kaoru Fukami-Kobayashi is an academic researcher from National Institute of Genetics. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 12, co-authored 18 publications receiving 1078 citations. Previous affiliations of Kaoru Fukami-Kobayashi include RIKEN Brain Science Institute.

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Integrative Annotation of 21,037 Human Genes Validated by Full-Length cDNA Clones

Tadashi Imanishi, +167 more
- 20 Apr 2004 - 
TL;DR: The H-InvDB as discussed by the authors is a database of 41,118 full-length cDNAs that capture the gene transcripts as complete functional cassettes, providing an unequivocal report of structural and functional diversity at the gene level.
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Domain dislocation: a change of core structure in periplasmic binding proteins in their evolutionary history

TL;DR: In this article, a phylogenetic tree for the PBP family was constructed based on their amino acid sequences and three-dimensional structures, respectively, and it was shown that the proteins of each type clearly cluster together, strongly indicating that the change in the core structure occurred only once in the evolution of PBPs.
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DNA Data Bank of Japan (DDBJ) for genome scale research in life science.

TL;DR: The DNA Data Bank of Japan (DDBJ) has made an effort to collect as much data as possible mainly from Japanese researchers, and developed the Genome Information Broker (GIB) and HGS, a database of the human genome, which have been updated incorporating newly available data and retrieval tools.
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Parallel Evolution of Ligand Specificity Between LacI/GalR Family Repressors and Periplasmic Sugar-Binding Proteins

TL;DR: This result, together with the phylogenetic relationship, demonstrates that the repressors and the PBPs individually acquired the same ligand specificity by homoplasious replacement, even though their genes are encoded in the same operon.
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Detecting compensatory covariation signals in protein evolution using reconstructed ancestral sequences.

TL;DR: The charge compensatory signal is more evident when it is sought by examining individual branches in the tree between reconstructed ancestral sequences at nodes in theTree, and it is found that the signal is especially strong when the positions pairs are in a single secondary structural unit, and may be useful in secondary structure prediction.