Chapter title |
Exploring Protein Function Using the Saccharomyces Genome Database
|
---|---|
Chapter number | 13 |
Book title |
Protein Function Prediction
|
Published in |
Methods in molecular biology, April 2017
|
DOI | 10.1007/978-1-4939-7015-5_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7013-1, 978-1-4939-7015-5, 978-1-4939-7013-1, 978-1-4939-7015-5
|
Authors |
Edith D. Wong |
Editors |
Daisuke Kihara |
Abstract |
Elucidating the function of individual proteins will help to create a comprehensive picture of cell biology, as well as shed light on human disease mechanisms, possible treatments, and cures. Due to its compact genome, and extensive history of experimentation and annotation, the budding yeast Saccharomyces cerevisiae is an ideal model organism in which to determine protein function. This information can then be leveraged to infer functions of human homologs. Despite the large amount of research and biological data about S. cerevisiae, many proteins' functions remain unknown. Here, we explore ways to use the Saccharomyces Genome Database (SGD; http://www.yeastgenome.org ) to predict the function of proteins and gain insight into their roles in various cellular processes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 40% |
Student > Doctoral Student | 1 | 20% |
Student > Master | 1 | 20% |
Unknown | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 60% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 20% |
Unknown | 1 | 20% |