Name
Abstract | ||
|---|---|---|
Correlations between sequence evolution and structural dynamics are of utmost importance in understanding the molecular mechanisms of function and their evolution. We have integrated Evol, a new package for fast and efficient comparative analysis of evolutionary patterns and conformational dynamics, into ProDy, a computational toolbox designed for inferring protein dynamics from experimental and theoretical data. Using information-theoretic approaches, Evol coanalyzes conservation and coevolution profiles extracted from multiple sequence alignments of protein families with their inferred dynamics. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1093/bioinformatics/btu336 | BIOINFORMATICS |
Field | DocType | Volume |
Sequence alignment,Protein family,Coevolution,Protein sequencing,Computer science,Bridging (networking),Protein dynamics,Bioinformatics,Evolutionary biology,Protein structure | Journal | 30 |
Issue | ISSN | Citations |
18 | 1367-4803 | 8 |
PageRank | References | Authors |
0.53 | 16 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmet Bakan | 1 | 61 | 4.99 |
| Anindita Dutta | 2 | 8 | 0.53 |
| Wenzhi Mao | 3 | 18 | 1.86 |
| Ying Liu | 4 | 8 | 0.53 |
| Chakra Chennubhotla | 5 | 89 | 12.70 |
| Timothy R. Lezon | 6 | 16 | 2.27 |
| Ivet Bahar | 7 | 361 | 39.41 |