| Chapter title |
Biophysics of Infection
|
|---|---|
| Chapter number | 1 |
| Book title |
Biophysics of Infection
|
| Published in |
Advances in experimental medicine and biology, May 2016
|
| DOI | 10.1007/978-3-319-32189-9_1 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-932187-5, 978-3-31-932189-9
|
| Authors |
Leake, Mark C, Mark C. Leake, Leake, Mark C. |
| Editors |
Mark C. Leake |
| Abstract |
Our understanding of the processes involved in infection has grown enormously in the past decade due in part to emerging methods of biophysics. This new insight has been enabled through advances in interdisciplinary experimental technologies and theoretical methods at the cutting-edge interface of the life and physical sciences. For example, this has involved several state-of-the-art biophysical tools used in conjunction with molecular and cell biology approaches, which enable investigation of infection in living cells. There are also new, emerging interfacial science tools which enable significant improvements to the resolution of quantitative measurements both in space and time. These include single-molecule biophysics methods and super-resolution microscopy approaches. These new technological tools in particular have underpinned much new understanding of dynamic processes of infection at a molecular length scale. Also, there are many valuable advances made recently in theoretical approaches of biophysics which enable advances in predictive modelling to generate new understanding of infection. Here, I discuss these advances, and take stock on our knowledge of the biophysics of infection and discuss where future advances may lead. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ghana | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 26% |
| Researcher | 8 | 17% |
| Student > Bachelor | 4 | 9% |
| Lecturer | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 9 | 19% |
| Unknown | 6 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 15% |
| Agricultural and Biological Sciences | 7 | 15% |
| Physics and Astronomy | 6 | 13% |
| Engineering | 6 | 13% |
| Chemistry | 5 | 11% |
| Other | 9 | 19% |
| Unknown | 7 | 15% |