Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs
about
Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins.Bioinformatics and systems biology research update from the 15th International Conference on Bioinformatics (InCoB2016).Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.
P2860
Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs
description
2016 nî lūn-bûn
@nan
2016 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Prediction of FAD binding site ...... d significant amino acid pairs
@ast
Prediction of FAD binding site ...... d significant amino acid pairs
@en
type
label
Prediction of FAD binding site ...... d significant amino acid pairs
@ast
Prediction of FAD binding site ...... d significant amino acid pairs
@en
prefLabel
Prediction of FAD binding site ...... d significant amino acid pairs
@ast
Prediction of FAD binding site ...... d significant amino acid pairs
@en
P2860
P3181
P1433
P1476
Prediction of FAD binding site ...... d significant amino acid pairs
@en
P2093
P2860
P2888
P3181
P356
10.1186/S12859-016-1163-X
P407
P577
2016-07-30T00:00:00Z
P6179
1013856612