| Chapter title |
Computational Design of Membrane Curvature-Sensing Peptides.
|
|---|---|
| Chapter number | 22 |
| Book title |
Computational Protein Design
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6637-0_22 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6635-6, 978-1-4939-6637-0
|
| Authors |
Armando Jerome de Jesus, Hang Yin, de Jesus, Armando Jerome, Yin, Hang |
| Editors |
Ilan Samish |
| Abstract |
Computer simulations have become an indispensable tool in studying molecular biological systems. The unmatched spatial and temporal resolution that it offers enables for microscopic-level views into the dynamics and mechanics of biological systems. Recent advances in hardware resources have also opened up to computer simulations the investigation of longer timescale biological processes and larger systems. The study of membrane proteins or peptides especially benefits from simulations due to difficulties related to crystallization of such proteins in a membrane environment. In this chapter, we outline the method of molecular dynamics and how it is applied to simulations that involve a peptide and lipid bilayers. In particular, the simulation of a membrane-curvature sensing peptide is examined, and ways of employing computational simulations to design such peptides are discussed. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Student > Ph. D. Student | 4 | 11% |
| Researcher | 3 | 8% |
| Other | 3 | 8% |
| Unspecified | 2 | 5% |
| Other | 7 | 19% |
| Unknown | 10 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 16% |
| Engineering | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Unspecified | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 8 | 22% |
| Unknown | 13 | 35% |