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| Chapter title |
Applications of Normal Mode Analysis Methods in Computational Protein Design.
|
|---|---|
| Chapter number | 9 |
| Book title |
Computational Protein Design
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6637-0_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6635-6, 978-1-4939-6637-0
|
| Authors |
Vincent Frappier, Matthieu Chartier, Rafael Najmanovich |
| Editors |
Ilan Samish |
| Abstract |
Recent advances in coarse-grained normal mode analysis methods make possible the large-scale prediction of the effect of mutations on protein stability and dynamics as well as the generation of biologically relevant conformational ensembles. Given the interplay between flexibility and enzymatic activity, the combined analysis of stability and dynamics using the Elastic Network Contact Model (ENCoM) method has ample applications in protein engineering in industrial and medical applications such as in computational antibody design. Here, we present a detailed tutorial on how to perform such calculations using ENCoM. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 15% |
| Student > Master | 2 | 15% |
| Student > Doctoral Student | 1 | 8% |
| Professor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 31% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 15% |
| Agricultural and Biological Sciences | 2 | 15% |
| Unknown | 5 | 38% |