Cargando…

A novel matrix of sequence descriptors for predicting protein-protein interactions from amino acid sequences

Protein-protein interactions (PPIs) play an important role in the life activities of organisms. With the availability of large amounts of protein sequence data, PPIs prediction methods have attracted increasing attention. A variety of protein sequence coding methods have emerged, but the training of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Xue, Wu, Yuejin, Wang, Rujing, Wei, Yuanyuan, Gui, Yuanmiao
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555512/ https://www.ncbi.nlm.nih.gov/pubmed/31173605 http://dx.doi.org/10.1371/journal.pone.0217312

Ejemplares similares

Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences
por: Wang, Jun, et al.
Publicado: (2017)

Predicting Protein–Protein Interaction Sites Using Sequence Descriptors and Site Propensity of Neighboring Amino Acids
por: Kuo, Tzu-Hao, et al.
Publicado: (2016)

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)

Prediction of protein motions from amino acid sequence and its application to protein-protein interaction
por: Hirose, Shuichi, et al.
Publicado: (2010)

Characterizing informative sequence descriptors and predicting binding affinities of heterodimeric protein complexes
por: Srinivasulu, Yerukala Sathipati, et al.
Publicado: (2015)

Predicting protein disorder by analyzing amino acid sequence
por: Yang, Jack Y, et al.
Publicado: (2008)

Prediction of Protein-Protein Interactions from Amino Acid Sequences Based on Continuous and Discrete Wavelet Transform Features
por: Wang, Tao, et al.
Publicado: (2018)

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)

Benchmarking of protein descriptor sets in proteochemometric modeling (part 1): comparative study of 13 amino acid descriptor sets
por: van Westen, Gerard JP, et al.
Publicado: (2013)

Benchmarking of protein descriptor sets in proteochemometric modeling (part 2): modeling performance of 13 amino acid descriptor sets
por: van Westen, Gerard JP, et al.
Publicado: (2013)

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 interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set
por: You, Zhu-Hong, et al.
Publicado: (2014)

An Effective Antifreeze Protein Predictor with Ensemble Classifiers and Comprehensive Sequence Descriptors
por: Yang, Runtao, et al.
Publicado: (2015)

Measuring Similarity among Protein Sequences Using a New Descriptor
por: Abo-Elkhier, Mervat M., et al.
Publicado: (2019)

Consensus Prediction of Protein Conformational Disorder from Amino Acidic Sequence
por: Kumar, Suresh, et al.
Publicado: (2008)

Predicting DNA-binding sites of proteins from amino acid sequence
por: Yan, Changhui, et al.
Publicado: (2006)

Prediction of RNA-binding amino acids from protein and RNA sequences
por: Choi, Sungwook, et al.
Publicado: (2011)

Novel Descriptors and Digital Signal Processing- Based Method for Protein Sequence Activity Relationship Study
por: Fontaine, Nicolas T., et al.
Publicado: (2019)

Improving Predictions of Protein-Protein Interfaces by Combining Amino Acid-Specific Classifiers Based on Structural and Physicochemical Descriptors with Their Weighted Neighbor Averages
por: de Moraes, Fábio R., et al.
Publicado: (2014)

Prediction of Protein–Ligand Interaction Based on the Positional Similarity Scores Derived from Amino Acid Sequences
por: Karasev, Dmitry, et al.
Publicado: (2019)

Sequence feature-based prediction of protein stability changes upon amino acid substitutions
por: Teng, Shaolei, et al.
Publicado: (2010)

A novel protein descriptor for the prediction of drug binding sites
por: Jiang, Mingjian, et al.
Publicado: (2019)

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

FOLD-RATE: prediction of protein folding rates from amino acid sequence
por: Gromiha, M. Michael, et al.
Publicado: (2006)

PrDOS: prediction of disordered protein regions from amino acid sequence
por: Ishida, Takashi, et al.
Publicado: (2007)

The Use of Orthologous Sequences to Predict the Impact of Amino Acid Substitutions on Protein Function
por: Marini, Nicholas J., et al.
Publicado: (2010)

Distinguishing Proteins From Arbitrary Amino Acid Sequences
por: Yau, Stephen S.-T., et al.
Publicado: (2015)

Prediction of pathogenic single amino acid substitutions using molecular fragment descriptors
por: Zadorozhny, Anton, et al.
Publicado: (2023)

Exploiting Amino Acid Composition for Predicting Protein-Protein Interactions
por: Roy, Sushmita, et al.
Publicado: (2009)

Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree
por: Zhou, Chang, et al.
Publicado: (2017)

Performance of rotation forest ensemble classifier and feature extractor in predicting protein interactions using amino acid sequences
por: Bustamam, Alhadi, et al.
Publicado: (2019)

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

Functional classification of proteins based on projection of amino acid sequences: application for prediction of protein kinase substrates
por: Sobolev, Boris, et al.
Publicado: (2010)

Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition
por: Huang, Yu-An, et al.
Publicado: (2016)

Predicting Protein-Protein Interactions from Matrix-Based Protein Sequence Using Convolution Neural Network and Feature-Selective Rotation Forest
por: Wang, Lei, et al.
Publicado: (2019)

Novel Numerical Characterization of Protein Sequences Based on Individual Amino Acid and Its Application
por: Zhang, Yan-ping, et al.
Publicado: (2015)

Efficacy of different protein descriptors in predicting protein functional families
por: Ong, Serene AK, et al.
Publicado: (2007)

Predicting protein function by machine learning on amino acid sequences – a critical evaluation
por: Al-Shahib, Ali, et al.
Publicado: (2007)

A Computational Approach for the Prediction of HIV Resistance Based on Amino Acid and Nucleotide Descriptors
por: Tarasova, Olga, et al.
Publicado: (2018)

Amino acid motifs for the identification of novel protein interactants
por: Wong, Aloysius, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_b0su55lhj4bemv8jog0hiimkiq