protein secondary structure prediction
GPTKB entity
Statements (40)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
scientific research
|
| gptkbp:accuracy |
~80% for three-state prediction
|
| gptkbp:application |
protein engineering
drug design functional annotation |
| gptkbp:benchmark_dataset |
gptkb:CASP
gptkb:CB513 |
| gptkbp:challenge |
disordered regions
low sequence similarity |
| gptkbp:common_structures |
coil
beta sheet alpha helix |
| gptkbp:database |
gptkb:Protein_Data_Bank_(PDB)
gptkb:UniProt |
| gptkbp:field |
structural biology
bioinformatics |
| gptkbp:first_method |
gptkb:Chou-Fasman_algorithm
gptkb:Garnier-Osguthorpe-Robson_(GOR)_method |
| gptkbp:goal |
predict local structures of proteins
|
| https://www.w3.org/2000/01/rdf-schema#label |
protein secondary structure prediction
|
| gptkbp:improves |
multiple sequence alignment
|
| gptkbp:input |
amino acid sequence
|
| gptkbp:method |
gptkb:machine_learning
gptkb:hidden_Markov_models neural networks statistical analysis support vector machines |
| gptkbp:notableTool |
gptkb:JPred
gptkb:PSIPRED gptkb:SPIDER3 gptkb:Porter |
| gptkbp:output |
secondary structure assignment
|
| gptkbp:relatedConcept |
protein folding
protein tertiary structure prediction |
| gptkbp:relatedTo |
computational biology
molecular biology |
| gptkbp:uses |
evolutionary information
position-specific scoring matrices |
| gptkbp:bfsParent |
gptkb:Markov_chain
|
| gptkbp:bfsLayer |
5
|