Prediction of Ubiquitination Sites Using UbiNets - Wiley Online Library
onlinelibrary.wiley.com › doi
Mar 20, 2018 · Recent research work has introduced two novel prediction tools for the detection of ubiquitination sites on large-scale proteome data [14, 26].
May 29, 2024 · The main target of this paper is to explore the significance of deep learning techniques for the prediction of ubiquitination sites in protein ...
Abstract: Ubiquitination controls the activity of various proteins and belongs to posttranslational modification. Various machine learning techniques are ...
Mar 1, 2018 · The main target of this paper is to explore the significance of deep learning techniques for the prediction of ubiquitination sites in protein ...
People also ask
How do you determine ubiquitination site?
What is UbPred predictor of protein ubiquitination sites?
Nov 28, 2023 · In this study, we collected experimentally verified Ubi-sites of human proteins from the dbPTM database, then conducted comprehensive state-of- ...
A new bioinformatics tool named CKSAAP_UbSite was developed to predict ubiquitination sites from protein sequences.
Missing: UbiNets. | Show results with:UbiNets.
Aug 16, 2024 · Similarly, Chen et al. [23] created a model CKSAAP and utilized Support Vector Machine as a classification algorithm to predict Ubiquitination ...
Mar 8, 2021 · The platform also provides users with an interactive tool that can visualize the ubiquitination network of a group of self-defined proteins, ...
May 11, 2021 · In this study, we proposed a novel approach for predicting plant ubiquitylation sites using a hybrid deep learning model by utilizing convolutional neural ...
Various machine learning techniques are taken for prediction of ubiquitination sites in protein sequences. The paper proposes a new MLP architecture, named ...