Literature DB >> 25656606

Collation and analyses of DNA-binding protein domain families from sequence and structural databanks.

Sony Malhotra1, Ramanathan Sowdhamini.   

Abstract

DNA-protein interactions govern several high fidelity cellular processes like DNA-replication, transcription, DNA repair, etc. Proteins that have the ability to recognise and bind DNA sequences can be classified either according to their DNA-binding motif or based on the sequence of the target nucleotides. We have collated the DNA-binding families by integrating information from both protein sequence family and structural databases. This resulted in a dataset of 1057 DNA-binding protein domain families. Their family properties (the number of members, percent identity distribution and length of members) and domain architectures were examined. Further, sequence domain families were mapped to structures in the protein databank (PDB) and the protein domain structure classification database (SCOP). The DNA-binding families, with no structural information, were clustered together into potential superfamilies based on sequence associations. On the basis of functions attributed to DNA-binding protein folds, we observe that a majority of the DNA-binding proteins follow divergent evolution. This study can serve as a basis for annotation and distribution of DNA-binding proteins in genome(s) of interest. The entire collated set of DNA-binding protein domains is available for download as Hidden Markov Models.

Mesh:

Substances:

Year:  2015        PMID: 25656606     DOI: 10.1039/c4mb00629a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  3 in total

1.  Growth temperature and chromatinization in archaea.

Authors:  Antoine Hocher; Guillaume Borrel; Khaled Fadhlaoui; Jean-François Brugère; Simonetta Gribaldo; Tobias Warnecke
Journal:  Nat Microbiol       Date:  2022-10-20       Impact factor: 30.964

2.  The effect of epigenetic modifications on the secondary structures and possible binding positions of the N-terminal tail of histone H3 in the nucleosome: a computational study.

Authors:  Louis L du Preez; Hugh-G Patterton
Journal:  J Mol Model       Date:  2017-03-28       Impact factor: 1.810

3.  New different origins and evolutionary processes of AP2/EREBP transcription factors in Taxus chinensis.

Authors:  Meng Zhang; Ying Chen; Xiaofei Jin; Yuxin Cai; Yuanyuan Yuan; Chunhua Fu; Longjiang Yu
Journal:  BMC Plant Biol       Date:  2019-10-07       Impact factor: 4.215

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.