Cargando…

A High Efficient Biological Language Model for Predicting Protein–Protein Interactions

Many life activities and key functions in organisms are maintained by different types of protein–protein interactions (PPIs). In order to accelerate the discovery of PPIs for different species, many computational methods have been developed. Unfortunately, even though computational methods are const...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Yanbin, You, Zhu-Hong, Yang, Shan, Li, Xiao, Jiang, Tong-Hai, Zhou, Xi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6406841/ https://www.ncbi.nlm.nih.gov/pubmed/30717470 http://dx.doi.org/10.3390/cells8020122

Ejemplares similares

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

An Efficient Computational Model for Large-Scale Prediction of Protein–Protein Interactions Based on Accurate and Scalable Graph Embedding
por: Su, Xiao-Rui, et al.
Publicado: (2021)

Prediction of protein self-interactions using stacked long short-term memory from protein sequences information
por: Wang, Yan-Bin, et al.
Publicado: (2018)

NLPEI: A Novel Self-Interacting Protein Prediction Model Based on Natural Language Processing and Evolutionary Information
por: Jia, Li-Na, et al.
Publicado: (2020)

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)

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)

A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information
por: Yi, Hai-Cheng, et al.
Publicado: (2018)

Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristics
por: Li, Zheng-Wei, et al.
Publicado: (2016)

Accurate Prediction of ncRNA-Protein Interactions From the Integration of Sequence and Evolutionary Information
por: Zhan, Zhao-Hui, et al.
Publicado: (2018)

Contrastive learning in protein language space predicts interactions between drugs and protein targets
por: Singh, Rohit, et al.
Publicado: (2023)

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

Prediction of RNA–protein interactions using a nucleotide language model
por: Yamada, Keisuke, et al.
Publicado: (2022)

A robust protein language model for SARS-CoV-2 protein–protein interaction network prediction
por: Ozger, Zeynep Banu
Publicado: (2023)

Efficient prediction of human protein-protein interactions at a global scale
por: Schoenrock, Andrew, et al.
Publicado: (2014)

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

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

Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles
por: Wang, Yan-Bin, et al.
Publicado: (2018)

Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform
por: Chen, Zhan-Heng, et al.
Publicado: (2019)

Robust and accurate prediction of protein–protein interactions by exploiting evolutionary information
por: Li, Yang, et al.
Publicado: (2021)

The protein-protein interaction ontology: for better representing and capturing the biological context of protein interaction
por: Li, Mansheng, et al.
Publicado: (2021)

Using Two-dimensional Principal Component Analysis and Rotation Forest for Prediction of Protein-Protein Interactions
por: Wang, Lei, et al.
Publicado: (2018)

A Novel Network-Based Algorithm for Predicting Protein-Protein Interactions Using Gene Ontology
por: Hu, Lun, et al.
Publicado: (2021)

How Culture and Biology Interact to Shape Language and the Language Faculty
por: Smith, Kenny
Publicado: (2018)

Constructing a robust protein-protein interaction network by integrating multiple public databases
por: Martha, Venkata-Swamy, et al.
Publicado: (2011)

Predicting highly-connected hubs in protein interaction networks by QSAR and biological data descriptors
por: Hsing, Michael, et al.
Publicado: (2009)

Evaluating contributions of natural language parsers to protein–protein interaction extraction
por: Miyao, Yusuke, et al.
Publicado: (2009)

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

Superior protein thermophilicity prediction with protein language model embeddings
por: Haselbeck, Florian, et al.
Publicado: (2023)

DWPPI: A Deep Learning Approach for Predicting Protein–Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological Network
por: Pan, Jie, et al.
Publicado: (2022)

Democratizing Protein Language Models with Parameter-Efficient Fine-Tuning
por: Sledzieski, Samuel, 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)

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

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

Identifying the missing proteins in human proteome by biological language model
por: Dong, Qiwen, et al.
Publicado: (2016)

Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences
por: An, Ji-Yong, et al.
Publicado: (2016)

Evaluation of Physical and Functional Protein-Protein Interaction Prediction Methods for Detecting Biological Pathways
por: Muley, Vijaykumar Yogesh, et al.
Publicado: (2013)

Prediction of Intra-Species Protein-Protein Interactions in Enteropathogens Facilitating Systems Biology Study
por: Barman, Ranjan Kumar, et al.
Publicado: (2015)

Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
por: Xia, Zheng, et al.
Publicado: (2010)

Predicting protein-protein interactions using high-quality non-interacting pairs
por: Zhang, Long, et al.
Publicado: (2018)

Computational Prediction of Protein-Protein Interactions of Human Tyrosinase
por: Wang, Su-Fang, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_h6qklvk1m8qdsqrp6i7p2mohb7