Cargando…

Discovering MoRFs by trisecting intrinsically disordered protein sequence into terminals and middle regions

BACKGROUND: Molecular Recognition Features (MoRFs) are short protein regions present in intrinsically disordered protein (IDPs) sequences. MoRFs interact with structured partner protein and upon interaction, they undergo a disorder-to-order transition to perform various biological functions. Analyse...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sharma, Ronesh, Sharma, Alok, Patil, Ashwini, Tsunoda, Tatsuhiko
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653905/ https://www.ncbi.nlm.nih.gov/pubmed/30717652 http://dx.doi.org/10.1186/s12859-018-2396-7

Ejemplares similares

Predicting MoRFs in protein sequences using HMM profiles
por: Sharma, Ronesh, et al.
Publicado: (2016)

MoRFchibi SYSTEM: software tools for the identification of MoRFs in protein sequences
por: Malhis, Nawar, et al.
Publicado: (2016)

Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding Regions
por: Katuwawala, Akila, et al.
Publicado: (2019)

Prediction of MoRFs based on sequence properties and convolutional neural networks
por: He, Hao, et al.
Publicado: (2021)

Retro-MoRFs: Identifying Protein Binding Sites by Normal and Reverse Alignment and Intrinsic Disorder Prediction
por: Xue, Bin, et al.
Publicado: (2010)

Computational prediction of MoRFs based on protein sequences and minimax probability machine
por: He, Hao, et al.
Publicado: (2019)

Investigating the disordered regions (MoRFs, SLiMs and LCRs) and functions of mimicry proteins/peptides in silico
por: Garg, Anjali, et al.
Publicado: (2022)

Computational Identification of MoRFs in Protein Sequences Using Hierarchical Application of Bayes Rule
por: Malhis, Nawar, et al.
Publicado: (2015)

Prediction of MoRFs in Protein Sequences with MLPs Based on Sequence Properties and Evolution Information
por: He, Hao, et al.
Publicado: (2019)

Identification of an α-MoRF in the Intrinsically Disordered Region of the Escargot Transcription Factor
por: Hernández-Segura, Teresa, et al.
Publicado: (2020)

A budget of trisections
por: Dudley, Underwood
Publicado: (1987)

Forecasting the spread of COVID-19 using LSTM network
por: Kumar, Shiu, et al.
Publicado: (2021)

Trisecting representational states in short-term memory
por: Nee, Derek Evan, et al.
Publicado: (2013)

HseSUMO: Sumoylation site prediction using half-sphere exposures of amino acids residues
por: Sharma, Alok, et al.
Publicado: (2019)

Crystal structures of the Arabidopsis thaliana organellar RNA editing factors MORF1 and MORF9
por: Haag, Sascha, et al.
Publicado: (2017)

Evaluation of Sequence Features from Intrinsically Disordered Regions for the Estimation of Protein Function
por: Sharma, Alok, et al.
Publicado: (2014)

OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals
por: Kumar, Shiu, et al.
Publicado: (2021)

MoRF-FUNCpred: Molecular Recognition Feature Function Prediction Based on Multi-Label Learning and Ensemble Learning
por: Li, Haozheng, et al.
Publicado: (2022)

Efficacy and Safety of the “Trisection Method” Training System for Robot-Assisted Radical Cystectomy at a Single Institution in Japan
por: Nakane, Keita, et al.
Publicado: (2022)

Fibres optiques au groupe RFS
por: Stellfeld, D
Publicado: (1990)

Lean RFS (Repetitive Flexible Supply)
por: Glenday, Ian, et al.
Publicado: (2016)

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information
por: Kumar, Shiu, et al.
Publicado: (2017)

Divisive hierarchical maximum likelihood clustering
por: Sharma, Alok, et al.
Publicado: (2017)

Brain wave classification using long short-term memory network based OPTICAL predictor
por: Kumar, Shiu, et al.
Publicado: (2019)

SPECTRA: a tool for enhanced brain wave signal recognition
por: Kumar, Shiu, et al.
Publicado: (2021)

MORF9 Functions in Plastid RNA Editing with Tissue Specificity
por: Tian, Faan, et al.
Publicado: (2019)

Pb(2+)-Containing Metal-Organic Rotaxane Frameworks (MORFs)
por: Xia, Ting, et al.
Publicado: (2021)

Efficacy of psychosocial rehabilitation program: The RFS experience
por: Chowdur, Rupasri, et al.
Publicado: (2011)

Genome-Wide Expression Profiling Analysis of Kiwifruit GolS and RFS Genes and Identification of AcRFS4 Function in Raffinose Accumulation
por: Yang, Jun, et al.
Publicado: (2022)

2D–EM clustering approach for high-dimensional data through folding feature vectors
por: Sharma, Alok, et al.
Publicado: (2017)

Characterization, Expression, and Interaction Analyses of OsMORF Gene Family in Rice
por: Zhang, Qiang, et al.
Publicado: (2019)

Autonomous Exploration and Mapping with RFS Occupancy-Grid SLAM
por: Ristic, Branko, et al.
Publicado: (2018)

Aggravation of Reflux Finding Score (RFS) after thyroidectomy
por: Yoon, Hyung-Joon, et al.
Publicado: (2021)

mt tRFs, New Players in MELAS Disease
por: Meseguer, Salvador, et al.
Publicado: (2022)

Handover Optimization Algorithm Based on T2RFS-FNN
por: Chen, Yong, et al.
Publicado: (2022)

Exploring the link between MORF4L1 and risk of breast cancer
por: Martrat, Griselda, et al.
Publicado: (2011)

An integrative machine learning approach for prediction of toxicity-related drug safety
por: Lysenko, Artem, et al.
Publicado: (2018)

DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics
por: Sharma, Alok, et al.
Publicado: (2023)

A ribonuclease activity linked to DYW1 in vitro is inhibited by RIP/MORF proteins
por: Boyd, Robert D., et al.
Publicado: (2023)

SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure
por: Dehzangi, Abdollah, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_41ta427v8ec8vn0clfjqqkq2bj