Cargando…

Improving accuracy of protein-protein interaction prediction by considering the converse problem for sequence representation

BACKGROUND: With the development of genome-sequencing technologies, protein sequences are readily obtained by translating the measured mRNAs. Therefore predicting protein-protein interactions from the sequences is of great demand. The reason lies in the fact that identifying protein-protein interact...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ren, Xianwen, Wang, Yong-Cui, Wang, Yong, Zhang, Xiang-Sun, Deng, Nai-Yang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2011
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3215753/ https://www.ncbi.nlm.nih.gov/pubmed/22024143 http://dx.doi.org/10.1186/1471-2105-12-409

Ejemplares similares

Identifying network biomarkers based on protein-protein interactions and expression data
por: Xin, Jingxue, et al.
Publicado: (2015)

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

DV-Curve Representation of Protein Sequences and Its Application
por: Deng, Wei, et al.
Publicado: (2014)

Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions
por: Yi, Hai-Cheng, et al.
Publicado: (2019)

Inferring the Effects of Protein Variants on Protein–Protein Interactions with Interpretable Transformer Representations
por: Liu, Zhe, et al.
Publicado: (2023)

Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence
por: Huang, Yu-An, et al.
Publicado: (2015)

Learning meaningful representations of protein sequences
por: Detlefsen, Nicki Skafte, et al.
Publicado: (2022)

Detecting Protein-Protein Interactions with a Novel Matrix-Based Protein Sequence Representation and Support Vector Machines
por: You, Zhu-Hong, et al.
Publicado: (2015)

Analytical Approaches to Improve Accuracy in Solving the Protein Topology Problem
por: Al Nasr, Kamal, et al.
Publicado: (2018)

Considering scores between unrelated proteins in the search database improves profile comparison
por: Sadreyev, Ruslan I, et al.
Publicado: (2009)

Improving protein–protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model
por: An, Ji‐Yong, et al.
Publicado: (2016)

Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation
por: Li, Yang, et al.
Publicado: (2022)

Global Vectors Representation of Protein Sequences and Its Application for Predicting Self-Interacting Proteins with Multi-Grained Cascade Forest Model
por: Chen, Zhan-Heng, et al.
Publicado: (2019)

Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding
por: Huang, Yu-An, et al.
Publicado: (2016)

Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier
por: Li, Yang, et al.
Publicado: (2022)

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

Graphical representation and mathematical characterization of protein sequences and applications to viral proteins
por: Ghosh, Ambarnil, et al.
Publicado: (2011)

ADLD: A Novel Graphical Representation of Protein Sequences and Its Application
por: Wang, Lei, et al.
Publicado: (2014)

Protein Sequence Comparison and DNA-binding Protein Identification with Generalized PseAAC and Graphical Representation
por: Li, Chun, et al.
Publicado: (2018)

The accuracy of several multiple sequence alignment programs for proteins
por: Nuin, Paulo AS, et al.
Publicado: (2006)

Representations of protein structure for exploring the conformational space: A speed–accuracy trade-off
por: Postic, Guillaume, et al.
Publicado: (2021)

Learning an enriched representation from unlabeled data for protein-protein interaction extraction
por: Li, Yanpeng, et al.
Publicado: (2010)

Multimodal deep representation learning for protein interaction identification and protein family classification
por: Zhang, Da, et al.
Publicado: (2019)

Identification of Protein–Protein Interactions via a Novel Matrix-Based Sequence Representation Model with Amino Acid Contact Information
por: Ding, Yijie, et al.
Publicado: (2016)

Sequence-based Prediction of Protein-Protein Interactions Using Gray Wolf Optimizer–Based Relevance Vector Machine
por: An, Ji-Yong, et al.
Publicado: (2019)

A novel multi-item joint replenishment problem considering multiple type discounts
por: Cui, Ligang, et al.
Publicado: (2018)

Identifying protein-protein interface via a novel multi-scale local sequence and structural representation
por: Guo, Fei, et al.
Publicado: (2019)

Protein-protein interaction prediction using a hybrid feature representation and a stacked generalization scheme
por: Chen, Kuan-Hsi, et al.
Publicado: (2019)

Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest
por: You, Zhu-Hong, et al.
Publicado: (2015)

Modularity analysis based on predicted protein-protein interactions provides new insights into pathogenicity and cellular process of Escherichia coli O157:H7
por: Wang, Xia, et al.
Publicado: (2011)

Analysis on multi-domain cooperation for predicting protein-protein interactions
por: Wang, Rui-Sheng, et al.
Publicado: (2007)

Chemical–protein interaction extraction via contextualized word representations and multihead attention
por: Zhang, Yijia, et al.
Publicado: (2019)

Multi-view heterogeneous molecular network representation learning for protein–protein interaction prediction
por: Su, Xiao-Rui, et al.
Publicado: (2022)

Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
por: Sierk, Michael L, et al.
Publicado: (2010)

Sequence-Based Prediction of Plant Protein-Protein Interactions by Combining Discrete Sine Transformation With Rotation Forest
por: Pan, Jie, et al.
Publicado: (2021)

Conversion and the Real: The (Im)Possibility of Testimonial Representation
por: Sremac, Srdjan
Publicado: (2016)

Accuracy improvement in protein complex prediction from protein interaction networks by refining cluster overlaps
por: Chiam, Tak Chien, et al.
Publicado: (2012)

Prediction of RNA-protein interactions using conjoint triad feature and chaos game representation
por: Wang, Hongchu, et al.
Publicado: (2018)

Conversational problem solving
por: Stanley, Richard P
Publicado: (2020)

Linear predictive coding representation of correlated mutation for protein sequence alignment
por: Jeong, Chan-seok, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_k18acq70266fnuvbh79mcsbmot