Cargando…

Identify Bitter Peptides by Using Deep Representation Learning Features

A bitter taste often identifies hazardous compounds and it is generally avoided by most animals and humans. Bitterness of hydrolyzed proteins is caused by the presence of bitter peptides. To improve palatability, bitter peptides need to be identified experimentally in a time-consuming and expensive...

Descripción completa

Detalles Bibliográficos
Autores principales:	Jiang, Jici, Lin, Xinxu, Jiang, Yueqi, Jiang, Liangzhen, Lv, Zhibin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315524/ https://www.ncbi.nlm.nih.gov/pubmed/35887225 http://dx.doi.org/10.3390/ijms23147877

Ejemplares similares

A Machine Learning Method to Identify Umami Peptide Sequences by Using Multiplicative LSTM Embedded Features
por: Jiang, Jici, et al.
Publicado: (2023)

IUP-BERT: Identification of Umami Peptides Based on BERT Features
por: Jiang, Liangzhen, et al.
Publicado: (2022)

Identification of sub-Golgi protein localization by use of deep representation learning features
por: Lv, Zhibin, et al.
Publicado: (2020)

e-Bitter: Bitterant Prediction by the Consensus Voting From the Machine-Learning Methods
por: Zheng, Suqing, et al.
Publicado: (2018)

Editorial: Feature Representation and Learning Methods With Applications in Protein Secondary Structure
por: Yan, Ni, et al.
Publicado: (2021)

ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation
por: Yi, Hai-Cheng, et al.
Publicado: (2019)

Review of T cell proliferation regulatory factors in treatment and prognostic prediction for solid tumors
por: Li, Jiayu, et al.
Publicado: (2023)

iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features
por: Charoenkwan, Phasit, et al.
Publicado: (2021)

Identifying defective solar cells in electroluminescence images using deep feature representations
por: Al‐Waisy, Alaa S., et al.
Publicado: (2022)

Bitter-RF: A random forest machine model for recognizing bitter peptides
por: Zhang, Yu-Fei, et al.
Publicado: (2023)

Brain Tumor Segmentation Based on Deep Learning’s Feature Representation
por: Aboussaleh, Ilyasse, et al.
Publicado: (2021)

The assessment of efficient representation of drug features using deep learning for drug repositioning
por: Moridi, Mahroo, et al.
Publicado: (2019)

Genomic representation predicts an asymptotic host adaptation of bat coronaviruses using deep learning
por: Li, Jing, et al.
Publicado: (2023)

Pancancer survival prediction using a deep learning architecture with multimodal representation and integration
por: Fan, Ziling, et al.
Publicado: (2023)

Identification of plant vacuole proteins by exploiting deep representation learning features
por: Jiao, Shihu, et al.
Publicado: (2022)

Mutation effect estimation on protein–protein interactions using deep contextualized representation learning
por: Zhou, Guangyu, et al.
Publicado: (2020)

Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation()
por: Khanal, Jhabindra, et al.
Publicado: (2021)

Identifying SNAREs by Incorporating Deep Learning Architecture and Amino Acid Embedding Representation
por: Le, Nguyen Quoc Khanh, et al.
Publicado: (2019)

UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning
por: Charoenkwan, Phasit, et al.
Publicado: (2021)

Deep-Learning-Based Detection of Infants with Autism Spectrum Disorder Using Auto-Encoder Feature Representation
por: Lee, Jung Hyuk, et al.
Publicado: (2020)

Inverse Feature Learning: Feature Learning Based on Representation Learning of Error
por: GHAZANFARI, BEHZAD, et al.
Publicado: (2020)

Subspace structural constraint-based discriminative feature learning via nonnegative low rank representation
por: Li, Ao, et al.
Publicado: (2019)

A revision of the “African Non-Spiny” Clade of Solanum L. (Solanum sections Afrosolanum Bitter, Benderianum Bitter, Lemurisolanum Bitter, Lyciosolanum Bitter, Macronesiotes Bitter, and Quadrangulare Bitter: Solanaceae)
por: Knapp, Sandra, et al.
Publicado: (2016)

BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules
por: Tuwani, Rudraksh, et al.
Publicado: (2019)

Deep Representation Learning for Trigger Monitoring
por: Hussain, Aman
Publicado: (2018)

Deep Learning of Orthographic Representations in Baboons
por: Hannagan, Thomas, et al.
Publicado: (2014)

Sex Differences in the Bitterness Perception of an Aromatic Myrtle Bitter Liqueur and Bitter Compounds
por: Rosa, Antonella, et al.
Publicado: (2023)

PD-BertEDL: An Ensemble Deep Learning Method Using BERT and Multivariate Representation to Predict Peptide Detectability
por: Wang, Huiqing, et al.
Publicado: (2022)

Discovering miRNAs Associated With Multiple Sclerosis Based on Network Representation Learning and Deep Learning Methods
por: Sun, Xiaoping, et al.
Publicado: (2022)

MSBooster: improving peptide identification rates using deep learning-based features
por: Yang, Kevin L., et al.
Publicado: (2023)

Bias reduction in representation of histopathology images using deep feature selection
por: Asilian Bidgoli, Azam, et al.
Publicado: (2022)

GWAS of human bitter taste perception identifies new loci and reveals additional complexity of bitter taste genetics
por: Ledda, Mirko, et al.
Publicado: (2014)

Ultrasound Images Guided under Deep Learning in the Anesthesia Effect of the Regional Nerve Block on Scapular Fracture Surgery
por: Liu, Yubo, et al.
Publicado: (2021)

BitterDB: a database of bitter compounds
por: Wiener, Ayana, et al.
Publicado: (2012)

Using Pitch Feature Matching to Design a Music Tutoring System Based on Deep Learning
por: Jiang, Jing
Publicado: (2022)

Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data
por: Hao, Yaru, et al.
Publicado: (2023)

A Comprehensive Comparative Analysis of Deep Learning Based Feature Representations for Molecular Taste Prediction
por: Song, Yu, et al.
Publicado: (2023)

Rapid protein stability prediction using deep learning representations
por: Blaabjerg, Lasse M, et al.
Publicado: (2023)

Molecular Features Underlying Selectivity in Chicken Bitter Taste Receptors
por: Di Pizio, Antonella, et al.
Publicado: (2018)

Identifying indicator species in ecological habitats using Deep Optimal Feature Learning
por: Tsai, Yiting, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_g7j4nfabr45ssjoeebqcolurak