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X Demographics
Mendeley readers
| Title |
MultiBac: from protein complex structures to synthetic viral nanosystems
|
|---|---|
| Published in |
BMC Biology, October 2017
|
| DOI | 10.1186/s12915-017-0447-6 |
| Pubmed ID | |
| Authors |
Martin Pelosse, Hannah Crocker, Barbara Gorda, Paul Lemaire, Jens Rauch, Imre Berger |
| Abstract |
The MultiBac baculovirus/insect cell expression vector system was conceived as a user-friendly, modular tool-kit for producing multiprotein complexes for structural biology applications. MultiBac has allowed the structure and function of many molecular machines to be elucidated, including previously inaccessible high-value drug targets. More recently, MultiBac developments have shifted to customized baculoviral genomes that are tailored for a range of applications, including synthesizing artificial proteins by genetic code expansion. We review some of these developments, including the ongoing rewiring of the MultiBac system for mammalian applications, notably CRISPR/Cas9-mediated gene editing. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 33% |
| Student > Master | 14 | 15% |
| Student > Ph. D. Student | 12 | 13% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 4 | 4% |
| Other | 5 | 5% |
| Unknown | 22 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 48% |
| Agricultural and Biological Sciences | 14 | 15% |
| Chemistry | 4 | 4% |
| Immunology and Microbiology | 3 | 3% |
| Engineering | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 23 | 24% |