Structure-based inference of molecular functions of proteins of unknown function from Berkeley Structural Genomics Center

Dong Hae Shin, Jingtong Hou, John Marc Chandonia, Debanu Das, In Geol Choi, Rosalind Kim, Sung Hou Kim

Research output: Contribution to journalReview articlepeer-review

22 Scopus citations


Advances in sequence genomics have resulted in an accumulation of a huge number of protein sequences derived from genome sequences. However, the functions of a large portion of them cannot be inferred based on the current methods of sequence homology detection to proteins of known functions. Three-dimensional structure can have an important impact in providing inference of molecular function (physical and chemical function) of a protein of unknown function. Structural genomics centers worldwide have been determining many 3-D structures of the proteins of unknown functions, and possible molecular functions of them have been inferred based on their structures. Combined with bioinformatics and enzymatic assay tools, the successful acceleration of the process of protein structure determination through high throughput pipelines enables the rapid functional annotation of a large fraction of hypothetical proteins. We present a brief summary of the process we used at the Berkeley Structural Genomics Center to infer molecular functions of proteins of unknown function.

Original languageEnglish
Pages (from-to)99-105
Number of pages7
JournalJournal of Structural and Functional Genomics
Issue number2-3
StatePublished - Sep 2007

Bibliographical note

Funding Information:
Acknowledgements We thank all the component members of BSGC for their efforts towards accomplishing the BSGC objectives. We gratefully acknowledge the supports of the NIH grant GM62412 for most of the structures cited in this article, NIH (R01-GM073109) and the U.S. Department of Energy under contract DE-AC02-05CH11231.


  • Berkeley Structural Genomics Center
  • Molecular function
  • Structural genomics
  • X-ray crystallography


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