| Chapter title |
Classification and Exploration of 3D Protein Domain Interactions Using Kbdock.
|
|---|---|
| Chapter number | 5 |
| Book title |
Data Mining Techniques for the Life Sciences
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3572-7_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3570-3, 978-1-4939-3572-7
|
| Authors |
Anisah W. Ghoorah, Marie-Dominique Devignes, Malika Smaïl-Tabbone, David W. Ritchie |
| Editors |
Oliviero Carugo, Frank Eisenhaber |
| Abstract |
Comparing and classifying protein domain interactions according to their three-dimensional (3D) structures can help to understand protein structure-function and evolutionary relationships. Additionally, structural knowledge of existing domain-domain interactions can provide a useful way to find structural templates with which to model the 3D structures of unsolved protein complexes. Here we present a straightforward guide to using the "Kbdock" protein domain structure database and its associated web site for exploring and comparing protein domain-domain interactions (DDIs) and domain-peptide interactions (DPIs) at the Pfam domain family level. We also briefly explain how the Kbdock web site works, and we provide some notes and suggestions which should help to avoid some common pitfalls when working with 3D protein domain structures. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 33% |
| Lecturer | 2 | 33% |
| Researcher | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 50% |
| Computer Science | 2 | 33% |
| Agricultural and Biological Sciences | 1 | 17% |