| Chapter title |
Rosetta Structure Prediction as a Tool for Solving Difficult Molecular Replacement Problems
|
|---|---|
| Chapter number | 19 |
| Book title |
Protein Crystallography
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-7000-1_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6998-2, 978-1-4939-7000-1
|
| Authors |
Frank DiMaio |
| Editors |
Alexander Wlodawer, Zbigniew Dauter, Mariusz Jaskolski |
| Abstract |
Molecular replacement (MR), a method for solving the crystallographic phase problem using phases derived from a model of the target structure, has proven extremely valuable, accounting for the vast majority of structures solved by X-ray crystallography. However, when the resolution of data is low, or the starting model is very dissimilar to the target protein, solving structures via molecular replacement may be very challenging. In recent years, protein structure prediction methodology has emerged as a powerful tool in model building and model refinement for difficult molecular replacement problems. This chapter describes some of the tools available in Rosetta for model building and model refinement specifically geared toward difficult molecular replacement cases. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 36% |
| Student > Ph. D. Student | 3 | 21% |
| Student > Doctoral Student | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 43% |
| Computer Science | 2 | 14% |
| Chemistry | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Unknown | 4 | 29% |