| Chapter title |
Bioinformatics Analysis of Functional Associations of PTMs
|
|---|---|
| Chapter number | 14 |
| Book title |
Protein Bioinformatics
|
| Published in |
Methods in molecular biology, February 2017
|
| DOI | 10.1007/978-1-4939-6783-4_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6781-0, 978-1-4939-6783-4
|
| Authors |
Pablo Minguez, Peer Bork |
| Editors |
Cathy H. Wu, Cecilia N. Arighi, Karen E. Ross |
| Abstract |
Post-translational modifications (PTMs) are an important source of protein regulation; they fine-tune the function, localization, and interaction with other molecules of the majority of proteins and are partially responsible for their multifunctionality. Usually, proteins have several potential modification sites, and their patterns of occupancy are associated with certain functional states. These patterns imply cross talk among PTMs within and between proteins, the majority of which are still to be discovered. Several methods detect associations between PTMs; these have recently combined into a global resource, the PTMcode database, which contains already known and predicted functional associations between pairs of PTMs from more than 45,000 proteins in 19 eukaryotic species. |
Mendeley readers
Geographical breakdown
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|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 46% |
| Professor | 1 | 8% |
| Other | 1 | 8% |
| Student > Master | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 23% |
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|---|---|---|
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| Biochemistry, Genetics and Molecular Biology | 3 | 23% |
| Computer Science | 1 | 8% |
| Business, Management and Accounting | 1 | 8% |
| Unknown | 3 | 23% |