3DM: systematic analysis of heterogeneous superfamily data to discover protein functionalities

R.K.P. Kuipers, H.J. Joosten, W.J.H. van Berkel, N.G.H. Leferink, E. Rooijen, E. Ittmann, F. van Zimmeren, H. Jochens, U. Bornscheuer, G. Vriend, V.A.P. Martins Dos Santos, P.J. Schaap

Research output: Contribution to journalArticleAcademicpeer-review

101 Citations (Scopus)


Ten years of experience with molecular class-specific information systems (MCSIS) such as with the hand-curated G protein-coupled receptor database (GPCRDB) or the semiautomatically generated nuclear receptor database has made clear that a wide variety of questions can be answered when protein-related data from many different origins can be flexibly combined. MCSISes revolve around a multiple sequence alignment (MSA) that includes "all" available sequences from the entire superfamily, and it has been shown at many occasions that the quality of these alignments is the most crucial aspect of the MCSIS approach. We describe here a system called 3DM that can automatically build an entire MCSIS. 3DM bases the MSA on a multiple structure alignment, which implies that the availability of a large number of superfamily members with a known three-dimensional structure is a requirement for 3DM to succeed well. Thirteen MCSISes were constructed and placed on the Internet for examination. These systems have been instrumental in a large series of research projects related to enzyme activity or the understanding and engineering of specificity, protein stability engineering, DNA-diagnostics, drug design, and so forth
Original languageEnglish
Pages (from-to)2101-2113
JournalProteins : Structure, Function, and Bioinformatics
Issue number9
Publication statusPublished - 2010


  • ligand-binding domain
  • correlated mutation analyses
  • coupled receptors
  • identification
  • family
  • information
  • residues
  • reveals
  • p53

Fingerprint Dive into the research topics of '3DM: systematic analysis of heterogeneous superfamily data to discover protein functionalities'. Together they form a unique fingerprint.

Cite this