Name
Title | ||
|---|---|---|
FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information. |
Abstract | ||
|---|---|---|
Incorporating context-based statistical scores with predicted structural states are important features to improve the performance of predicting protein flexibility, as shown by our computational results. Our prediction method is implemented as web service called "FLEXc" and available online at: http://hpcr.cs.odu.edu/flexc . |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-1117-3 | BMC Bioinformatics |
Keywords | Field | DocType |
Secondary Structure, Solvent Accessibility, Evolutionary Information, Neural Network Training, Position Specific Scoring Matrix | Protein structure database,Context based,Computer science,Protein dynamics,Bioinformatics,Computational biology,Artificial neural network,Protein secondary structure,Peptide sequence,Protein structure,Evolutionary information | Journal |
Volume | Issue | ISSN |
17 | S-8 | 1471-2105 |
Citations | PageRank | References |
2 | 0.41 | 5 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashraf Yaseen | 1 | 53 | 4.24 |
| Mais Nijim | 2 | 144 | 14.08 |
| Brandon Williams | 3 | 2 | 0.41 |
| Lei Qian | 4 | 2 | 0.41 |
| Min Li | 5 | 752 | 66.03 |
| Jianxin Wang | 6 | 2163 | 283.94 |
| Yaohang Li | 7 | 306 | 46.46 |