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| Content Provider | PubMed Central |
|---|---|
| Author | Fischer, Daniel Eisenberg, David |
| Copyright Year | 1997 |
| Abstract | A crucial step in exploiting the information inherent in genome sequences is to assign to each protein sequence its three-dimensional fold and biological function. Here we describe fold assignment for the proteins encoded by the small genome of Mycoplasma genitalium. The assignment was carried out by our computer server (http://www.doe-mbi.ucla.edu/people/frsvr/frsvr.html), which assigns folds to amino acid sequences by comparing sequence-derived predictions with known structures. Of the total of 468 protein ORFs, 103 (22%) can be assigned a known protein fold with high confidence, as cross-validated with tests on known structures. Of these sequences, 75 (16%) show enough sequence similarity to proteins of known structure that they can also be detected by traditional sequence–sequence comparison methods. That is, the difference of 28 sequences (6%) are assignable by the sequence–structure method of the server but not by current sequence–sequence methods. Of the remaining 78% of sequences in the genome, 18% belong to membrane proteins and the remaining 60% cannot be assigned either because these sequences correspond to no presently known fold or because of insensitivity of the method. At the current rate of determination of new folds by x-ray and NMR methods, extrapolation suggests that folds will be assigned to most soluble proteins in the next decade. |
| Starting Page | 11929 |
| File Format | |
| ISSN | 10916490 |
| e-ISSN | 10916490 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Issue Number | 22 |
| Volume Number | 94 |
| Language | English |
| Publisher | The National Academy of Sciences of the USA |
| Publisher Date | 1997-10-28 |
| Access Restriction | Open |
| Rights Holder | The National Academy of Sciences of the USA |
| Subject Keyword | Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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