Name
Title | ||
|---|---|---|
Structure-based Markov random field model for representing evolutionary constraints on functional sites. |
Abstract | ||
|---|---|---|
BackgroundElucidating the cooperative mechanism of interconnected residues is an important component toward understanding the biological function of a protein. Coevolution analysis has been developed to model the coevolutionary information reflecting structural and functional constraints. Recently, several methods have been developed based on a probabilistic graphical model called the Markov random field (MRF), which have led to significant improvements for coevolution analysis; however, thus far, the performance of these models has mainly been assessed by focusing on the aspect of protein structure. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-0948-2 | BMC Bioinformatics |
Keywords | Field | DocType |
Markov random field, Coevolution analysis, Protein structure, Functional site, Catalytic site, Allosteric site | Coevolution,Biological evolution,Biology,Markov random field,Probabilistic logic,Bioinformatics,Graphical model,Protein structure | Journal |
Volume | Issue | ISSN |
17 | 1 | 1471-2105 |
Citations | PageRank | References |
1 | 0.36 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chanseok Jeong | 1 | 37 | 2.98 |
| Dongsup Kim | 2 | 320 | 23.11 |