Structure-based inference of molecular functions of proteins of unknown function from Berkeley Structural Genomics Center
Abstract
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.
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Structure is more informative of function than sequence and structure is encoded by sequence.
“Although structure is more informative of function than sequence 57,58 and structure is encoded by sequence, predicting structure remains hard, particularly due to the relative paucity of structural relative to sequence data.”
From Learning the protein language: Evolution, structure, and function (2021) · cites this paper as [58]
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References 36
- Authors
- Shin, D. H., Hou, J., Chandonia, J.-M., Das, D., Choi, I.-G., Kim, R., & Kim, S.-H.
- Affiliations
- Ewha Womans University (KR)
- Lawrence Berkeley National Laboratory (US)
- University of California, Berkeley (US)
- Corresponding author
- Kim, Sung-Hou
- Venue
- Journal of Structural and Functional Genomics
- Published
- 2007-09
- Volume
- 8
- Issue
- 2-3
- Pages
- 99-105
- ISSN
- 1345-711X (ISSN-L)
- 1570-0267
- OpenAlex
- W261672133
- Cited by
- 0
- References
- 36
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Structural and Functional Genomics (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Lawrence Berkeley National Laboratory
- Funders
- National Institutes of Health (5r01gm073109-08)
- National Institute of General Medical Sciences (R01-GM073109, GM62412, P50GM062412)
- Topics
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- protein function prediction, proteins of unknown function, structural genomics, protein 3D structure, functional annotation, hypothetical protein
- MeSH terms
- Animals, Decision Trees, Humans, Proteins, Structure-Activity Relationship, Sequence Analysis, Protein, Genomics, Structural Homology, Protein
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