Functional inferences from blind ab initio protein structure predictions

Richard Bonneau, Jerry Tsai, Ingo Ruczinski, David Baker

Research output: Contribution to journalArticlepeer-review


Ab initio protein structure prediction methods have improved dramatically in the past several years. Because these methods require only the sequence of the protein of interest, they are potentially applicable to the open reading frames in the many organisms whose sequences have been and will be determined. Ab initio methods cannot currently produce models of high enough resolution for use in rational drug design, but there is an exciting potential for using the methods for functional annotation of protein sequences on a genomic scale. Here we illustrate how functional insights can be obtained from low-resolution predicted structures using examples from blind ab initio structure predictions from the third and fourth critical assessment of structure prediction (CASP3, CASP4) experiments.

Original languageEnglish (US)
Pages (from-to)186-190
Number of pages5
JournalJournal of Structural Biology
Issue number2-3
StatePublished - 2001


  • CASP3
  • CASP4
  • Genomics
  • New folds
  • Rosetta

ASJC Scopus subject areas

  • Structural Biology


Dive into the research topics of 'Functional inferences from blind ab initio protein structure predictions'. Together they form a unique fingerprint.

Cite this