Cargando…

A Novel Ensemble Learning-Based Computational Method to Predict Protein-Protein Interactions from Protein Primary Sequences

SIMPLE SUMMARY: Protein–protein interactions (PPIs) play a central role in the evolution and progression of various biological processes. In this article, we constructed a novel ensemble-learning-based model to predict potential PPIs, which only utilized the protein sequence information. The present...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pan, Jie, Wang, Shiwei, Yu, Changqing, Li, Liping, You, Zhuhong, Sun, Yanmei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139052/ https://www.ncbi.nlm.nih.gov/pubmed/35625503 http://dx.doi.org/10.3390/biology11050775

Ejemplares similares

Predicting Protein–Protein Interactions Based on Ensemble Learning-Based Model from Protein Sequence
por: Zhan, Xinke, et al.
Publicado: (2022)

Ensemble Learning Prediction of Drug-Target Interactions Using GIST Descriptor Extracted from PSSM-Based Evolutionary Information
por: Zhan, Xinke, et al.
Publicado: (2020)

GSPHI: A novel deep learning model for predicting phage-host interactions via multiple biological information
por: Pan, Jie, et al.
Publicado: (2023)

Prediction of protein–protein interaction sites by means of ensemble learning and weighted feature descriptor
por: Du, Xiuquan, et al.
Publicado: (2016)

CPIELA: Computational Prediction of Plant Protein–Protein Interactions by Ensemble Learning Approach From Protein Sequences and Evolutionary Information
por: Li, Li-Ping, et al.
Publicado: (2022)

An Ensemble Learning-Based Method for Inferring Drug-Target Interactions Combining Protein Sequences and Drug Fingerprints
por: Zhao, Zheng-Yang, et al.
Publicado: (2021)

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis
por: You, Zhu-Hong, et al.
Publicado: (2013)

Prediction of protein-protein interaction sites using an ensemble method
por: Deng, Lei, et al.
Publicado: (2009)

An ensemble approach for large-scale identification of protein-protein interactions using the alignments of multiple sequences
por: Wang, Lei, et al.
Publicado: (2016)

PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences
por: Wang, Yanbin, et al.
Publicado: (2017)

Prediction of Protein–Protein Interactions with Clustered Amino Acids and Weighted Sparse Representation
por: Huang, Qiaoying, et al.
Publicado: (2015)

The assessment of computationally derived protein ensembles in protein-ligand docking
por: Sander, Barbara, et al.
Publicado: (2012)

RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information
por: Yi, Hai-Cheng, et al.
Publicado: (2020)

SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information
por: Ren, Zhong-Hao, et al.
Publicado: (2022)

HPiP: an R/Bioconductor package for predicting host–pathogen protein–protein interactions from protein sequences using ensemble machine learning approach
por: Rahmatbakhsh, Matineh, et al.
Publicado: (2022)

A Transformer-Based Ensemble Framework for the Prediction of Protein–Protein Interaction Sites
por: Mou, Minjie, et al.
Publicado: (2023)

Hot spot prediction in protein-protein interactions by an ensemble system
por: Liu, Quanya, et al.
Publicado: (2018)

SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions
por: Zhang, Wen, et al.
Publicado: (2018)

An Ensemble Method for Predicting Subnuclear Localizations from Primary Protein Structures
por: Han, Guo Sheng, et al.
Publicado: (2013)

Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes
por: Zhang, Lina, et al.
Publicado: (2016)

Deep learning of protein sequence design of protein–protein interactions
por: Syrlybaeva, Raulia, et al.
Publicado: (2022)

An Ensemble Method to Distinguish Bacteriophage Virion from Non-Virion Proteins Based on Protein Sequence Characteristics
por: Zhang, Lina, et al.
Publicado: (2015)

A Novel Feature Extraction Scheme with Ensemble Coding for Protein–Protein Interaction Prediction
por: Du, Xiuquan, et al.
Publicado: (2014)

AutoPPI: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction
por: Czibula, Gabriela, et al.
Publicado: (2021)

Protein Interaction Network Reconstruction Through Ensemble Deep Learning With Attention Mechanism
por: Li, Feifei, et al.
Publicado: (2020)

Hierarchical Ensemble Methods for Protein Function Prediction
por: Valentini, Giorgio
Publicado: (2014)

RoFDT: Identification of Drug–Target Interactions from Protein Sequence and Drug Molecular Structure Using Rotation Forest
por: Wang, Ying, et al.
Publicado: (2022)

Computational prediction and interpretation of druggable proteins using a stacked ensemble-learning framework
por: Charoenkwan, Phasit, et al.
Publicado: (2022)

EnsembleDL-ATG: Identifying autophagy proteins by integrating their sequence and evolutionary information using an ensemble deep learning framework
por: Yu, Lezheng, et al.
Publicado: (2023)

Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
por: Hou, Zilong, et al.
Publicado: (2023)

Exploring NMR ensembles of calcium binding proteins: Perspectives to design inhibitors of protein-protein interactions
por: Isvoran, Adriana, et al.
Publicado: (2011)

Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction
por: Qu, Yang, et al.
Publicado: (2023)

Using discriminative vector machine model with 2DPCA to predict interactions among proteins
por: Li, Zhengwei, et al.
Publicado: (2019)

DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction
por: Chen, Wenqi, et al.
Publicado: (2022)

Machine Learning Generation of Dynamic Protein Conformational Ensembles
por: Zheng, Li-E, et al.
Publicado: (2023)

Using Random Forest Model Combined With Gabor Feature to Predict Protein-Protein Interaction From Protein Sequence
por: Zhan, Xin-Ke, et al.
Publicado: (2020)

Protein Fitness Prediction Is Impacted by the Interplay of Language Models, Ensemble Learning, and Sampling Methods
por: Mardikoraem, Mehrsa, et al.
Publicado: (2023)

Prediction of Drug–Target Interactions by Combining Dual-Tree Complex Wavelet Transform with Ensemble Learning Method
por: Pan, Jie, et al.
Publicado: (2021)

Computationally identifying hot spots in protein-DNA binding interfaces using an ensemble approach
por: Pan, Yuliang, et al.
Publicado: (2020)

Predicting protein–membrane interfaces of peripheral membrane proteins using ensemble machine learning
por: Chatzigoulas, Alexios, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_dju3q8v6ei9edh6q0i4hnpmc6c