Cargando…

Improving protein-protein interaction prediction using evolutionary information from low-quality MSAs

Evolutionary information stored in multiple sequence alignments (MSAs) has been used to identify the interaction interface of protein complexes, by measuring either co-conservation or co-mutation of amino acid residues across the interface. Recently, maximum entropy related correlated mutation measu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Várnai, Csilla, Burkoff, Nikolas S., Wild, David L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293240/ https://www.ncbi.nlm.nih.gov/pubmed/28166227 http://dx.doi.org/10.1371/journal.pone.0169356

Ejemplares similares

Efficient Parameter Estimation of Generalizable Coarse-Grained Protein Force Fields Using Contrastive Divergence: A Maximum Likelihood Approach
por: Várnai, Csilla, et al.
Publicado: (2013)

STRIKE: evaluation of protein MSAs using a single 3D structure
por: Kemena, Carsten, et al.
Publicado: (2011)

Symptom Prevalence in Spanish and Colombian Oncology Patients Measured with the MSAS
por: Llamas-Ramos, Inés, et al.
Publicado: (2022)

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

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

Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information
por: An, Ji-Yong, et al.
Publicado: (2020)

The origins of the evolutionary signal used to predict protein-protein interactions
por: Swapna, Lakshmipuram S, et al.
Publicado: (2012)

Revealing the variations in impact of economic segregation on preterm birth among disaggregated Asian ethnicities across MSAs in the United States: 2015–2017
por: Quan, Nathan S.N., et al.
Publicado: (2021)

Robust and accurate prediction of residue–residue interactions across protein interfaces using evolutionary information
por: Ovchinnikov, Sergey, et al.
Publicado: (2014)

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

Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information
por: Panwar, Bharat, et al.
Publicado: (2013)

InterEvDock: a docking server to predict the structure of protein–protein interactions using evolutionary information
por: Yu, Jinchao, et al.
Publicado: (2016)

Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information
por: An, Ji-Yong, et al.
Publicado: (2017)

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)

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

MSPEDTI: Prediction of Drug–Target Interactions via Molecular Structure with Protein Evolutionary Information
por: Wang, Lei, et al.
Publicado: (2022)

Prediction of Protein-protein Interactions on the Basis of Evolutionary Conservation of Protein Functions
por: Kotelnikova, Ekaterina, et al.
Publicado: (2007)

Combining Physicochemical and Evolutionary Information for Protein Contact Prediction
por: Schneider, Michael, et al.
Publicado: (2014)

Evolutionary analysis and interaction prediction for protein-protein interaction network in geometric space
por: Huang, Lei, et al.
Publicado: (2017)

Prediction of FAD interacting residues in a protein from its primary sequence using evolutionary information
por: Mishra, Nitish K, et al.
Publicado: (2010)

Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information
por: Chauhan, Jagat S, et al.
Publicado: (2010)

An Ensemble Classifier to Predict Protein–Protein Interactions by Combining PSSM-based Evolutionary Information with Local Binary Pattern Model
por: Li, Yang, et al.
Publicado: (2019)

Information assessment on predicting protein-protein interactions
por: Lin, Nan, et al.
Publicado: (2004)

COFACTOR: improved protein function prediction by combining structure, sequence and protein–protein interaction information
por: Zhang, Chengxin, et al.
Publicado: (2017)

Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
por: Tan, Ching-Wai, et al.
Publicado: (2008)

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

Efficiently Differentiating Agonists and Competitive Antagonists for Weak Allosteric Protein–Ligand Interactions with Linear Response Theory
por: Davolio, Anthony J., et al.
Publicado: (2023)

Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier
por: Li, Zheng-Wei, et al.
Publicado: (2017)

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

BeEP Server: using evolutionary information for quality assessment of protein structure models
por: Palopoli, Nicolas, et al.
Publicado: (2013)

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

Protein-Protein Interactions in a Crowded Environment: An Analysis via Cross-Docking Simulations and Evolutionary Information
por: Lopes, Anne, et al.
Publicado: (2013)

Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information
por: Paliwal, Kuldip K, et al.
Publicado: (2014)

Predicting RNA-binding sites of proteins using support vector machines and evolutionary information
por: Cheng, Cheng-Wei, et al.
Publicado: (2008)

Use Chou's 5-Step Rule to Predict DNA-Binding Proteins with Evolutionary Information
por: Lu, Weizhong, et al.
Publicado: (2020)

Protein protein interactions, evolutionary rate, abundance and age
por: Saeed, Ramazan, et al.
Publicado: (2006)

Machine learning approach to predict protein phosphorylation sites by incorporating evolutionary information
por: Biswas, Ashis Kumer, et al.
Publicado: (2010)

Combining Evolutionary Information and an Iterative Sampling Strategy for Accurate Protein Structure Prediction
por: Braun, Tatjana, et al.
Publicado: (2015)

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

Incorporating chemical sub-structures and protein evolutionary information for inferring drug-target interactions
por: Wang, Lei, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_hb0g72hki82cs6ovqu2rvqc5he