|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM257061029 |
| 003 |
DE-627 |
| 005 |
20231224182010.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231224s2016 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1002/jcc.24314
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n0856.xml
|
| 035 |
|
|
|a (DE-627)NLM257061029
|
| 035 |
|
|
|a (NLM)26833816
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Taherzadeh, Ghazaleh
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Sequence-based prediction of protein-peptide binding sites using support vector machine
|
| 264 |
|
1 |
|c 2016
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 20.08.2018
|
| 500 |
|
|
|a Date Revised 20.08.2018
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a © 2016 Wiley Periodicals, Inc.
|
| 520 |
|
|
|a Protein-peptide interactions are essential for all cellular processes including DNA repair, replication, gene-expression, and metabolism. As most protein-peptide interactions are uncharacterized, it is cost effective to investigate them computationally as the first step. All existing approaches for predicting protein-peptide binding sites, however, are based on protein structures despite the fact that the structures for most proteins are not yet solved. This article proposes the first machine-learning method called SPRINT to make Sequence-based prediction of Protein-peptide Residue-level Interactions. SPRINT yields a robust and consistent performance for 10-fold cross validations and independent test. The most important feature is evolution-generated sequence profiles. For the test set (1056 binding and non-binding residues), it yields a Matthews' Correlation Coefficient of 0.326 with a sensitivity of 64% and a specificity of 68%. This sequence-based technique shows comparable or more accurate than structure-based methods for peptide-binding site prediction. SPRINT is available as an online server at: http://sparks-lab.org/. © 2016 Wiley Periodicals, Inc
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
| 650 |
|
4 |
|a binding site
|
| 650 |
|
4 |
|a features
|
| 650 |
|
4 |
|a machine learning
|
| 650 |
|
4 |
|a prediction
|
| 650 |
|
4 |
|a protein-peptide
|
| 650 |
|
4 |
|a sequence-based
|
| 650 |
|
4 |
|a support vector machine
|
| 650 |
|
7 |
|a Peptides
|2 NLM
|
| 650 |
|
7 |
|a Proteins
|2 NLM
|
| 700 |
1 |
|
|a Yang, Yuedong
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Zhang, Tuo
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Liew, Alan Wee-Chung
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Zhou, Yaoqi
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t Journal of computational chemistry
|d 1984
|g 37(2016), 13 vom: 15. Mai, Seite 1223-9
|w (DE-627)NLM098138448
|x 1096-987X
|7 nnns
|
| 773 |
1 |
8 |
|g volume:37
|g year:2016
|g number:13
|g day:15
|g month:05
|g pages:1223-9
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1002/jcc.24314
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 37
|j 2016
|e 13
|b 15
|c 05
|h 1223-9
|