Unknown

Dataset Information

Prediction of neddylation sites from protein sequences and sequence-derived properties.


ABSTRACT:

Background

Neddylation is a reversible post-translational modification that plays a vital role in maintaining cellular machinery. It is shown to affect localization, binding partners and structure of target proteins. Disruption of protein neddylation was observed in various diseases such as Alzheimer's and cancer. Therefore, understanding the neddylation mechanism and determining neddylation targets possibly bears a huge importance in further understanding the cellular processes. This study is the first attempt to predict neddylated sites from protein sequences by using several sequence and sequence-based structural features.

Results

We have developed a neddylation site prediction method using a support vector machine based on various sequence properties, position-specific s

SUBMITTER: Yavuz AS 

PROVIDER: S-EPMC4682398 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature