PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides.
about
KNOTTIN: the database of inhibitor cystine knot scaffold after 10 years, toward a systematic structure modeling.Protein classification using modified n-grams and skip-grams.Assigning biological function using hidden signatures in cystine-stabilized peptide sequences.Classes, Databases, and Prediction Methods of Pharmaceutically and Commercially Important Cystine-Stabilized Peptides.
P2860
PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
PredSTP: a highly accurate SVM ...... l cystine stabilized peptides.
@ast
PredSTP: a highly accurate SVM ...... l cystine stabilized peptides.
@en
type
label
PredSTP: a highly accurate SVM ...... l cystine stabilized peptides.
@ast
PredSTP: a highly accurate SVM ...... l cystine stabilized peptides.
@en
prefLabel
PredSTP: a highly accurate SVM ...... l cystine stabilized peptides.
@ast
PredSTP: a highly accurate SVM ...... l cystine stabilized peptides.
@en
P2093
P2860
P1433
P1476
PredSTP: a highly accurate SVM ...... l cystine stabilized peptides.
@en
P2093
Christopher Michel Kearney
Erich J Baker
Tanvir Sajed
P2860
P2888
P356
10.1186/S12859-015-0633-X
P577
2015-07-05T00:00:00Z
P5875
P6179
1010456417