| Chapter title |
Template-Based Protein Structure Modeling
|
|---|---|
| Chapter number | 6 |
| Book title |
Computational Biology
|
| Published in |
Methods in molecular biology, September 2010
|
| DOI | 10.1007/978-1-60761-842-3_6 |
| Pubmed ID | |
| Book ISBNs |
978-1-60761-841-6, 978-1-60761-842-3
|
| Authors |
Fiser A, Andras Fiser, Fiser, Andras |
| Abstract |
Functional characterization of a protein is often facilitated by its 3D structure. However, the fraction of experimentally known 3D models is currently less than 1% due to the inherently time-consuming and complicated nature of structure determination techniques. Computational approaches are employed to bridge the gap between the number of known sequences and that of 3D models. Template-based protein structure modeling techniques rely on the study of principles that dictate the 3D structure of natural proteins from the theory of evolution viewpoint. Strategies for template-based structure modeling will be discussed with a focus on comparative modeling, by reviewing techniques available for all the major steps involved in the comparative modeling pipeline. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| France | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 365 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 20% |
| Student > Master | 60 | 16% |
| Student > Bachelor | 59 | 16% |
| Researcher | 29 | 8% |
| Student > Doctoral Student | 14 | 4% |
| Other | 41 | 11% |
| Unknown | 95 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 118 | 32% |
| Agricultural and Biological Sciences | 70 | 19% |
| Chemistry | 24 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 4% |
| Computer Science | 8 | 2% |
| Other | 33 | 9% |
| Unknown | 105 | 28% |