3DSwap: Curated knowledgebase of proteins involved in 3D domain swapping

Khader Shameer, Prashant N. Shingate, S. C. P. Manjunath, M. Karthika, Pugalenthi Ganesan, Ramanathan Sowdhamini

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


Three-dimensional domain swapping is a unique protein structural phenomenon where two or more protein chains in a protein oligomer share a common structural segment between individual chains. This phenomenon is observed in an array of protein structures in oligomeric conformation. Protein structures in swapped conformations perform diverse functional roles and are also associated with deposition diseases in humans. We have performed in-depth literature curation and structural bioinformatics analyses to develop an integrated knowledgebase of proteins involved in 3D domain swapping. The hallmark of 3D domain swapping is the presence of distinct structural segments such as the hinge and swapped regions. We have curated the literature to delineate the boundaries of these regions. In addition, we have defined several new concepts like 'secondary major interface' to represent the interface properties arising as a result of 3D domain swapping, and a new quantitative measure for the 'extent of swapping' in structures. The catalog of proteins reported in 3DSwap knowledgebase has been generated using an integrated structural bioinformatics workflow of database searches, literature curation, by structure visualization and sequence-structure-function analyses. The current version of the 3DSwap knowledgebase reports 293 protein structures, the analysis of such a compendium of protein structures will further the understanding molecular factors driving 3D domain swapping. The Author(s) 2011.
Original languageEnglish (US)
Pages (from-to)bar042-bar042
Number of pages1
StatePublished - Sep 29 2011

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • General Biochemistry, Genetics and Molecular Biology
  • Information Systems
  • General Medicine


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