PREDICTIVE MODELS TO DISCOVER NOVEL RNA-BINDING PROTEINS

PREDICTIVE MODELS TO DISCOVER NOVEL RNA-BINDING PROTEINS

Ph.D

Saved in:

Bibliographic Details
Main Author:	JIN WENHAO
Other Authors:	PHYSIOLOGY
Format:	Theses and Dissertations
Language:	English
Published:	2018
Subjects:	RNA-binding proteins,Machine Learning,Deep Learning,Bioinformatics,Prediction,Protein-protein interaction network
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/149766
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

Similar Items

Discovering Dynamic Protein Complexes from Static Interacomes: Three Challenges
by: YONG CHERN HAN
Published: (2015)

Prediction of ligand-binding proteins and their inhibitors: machine learning approach
by: LIN HONGHUANG
Published: (2014)

Prediction of RNA-binding proteins from primary sequence by a support vector machine approach.
by: HAN, Lian Yi, et al.
Published: (2004)

Protein function and inhibitor prediction by statistical learning approach
by: HAN LIANYI
Published: (2010)

Prediction of RNA-binding proteins from primary sequence by a support vector machine approach
by: Han, L.Y., et al.
Published: (2014)

Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology
by: Cui, J., et al.
Published: (2014)

Bioinformatics Analysis and Modelling of Therapeutically Relevant Molecules
by: TAO LIN
Published: (2015)

Machine learning on protein-protein interaction prediction: models, challenges and trends
by: Tang, Tao, et al.
Published: (2023)

Detection of RNA-binding Proteins by RNA Pull-down in Adipocyte Culture
by: Bai, Qianfan, et al.
Published: (2017)

OnionNet-2: a convolutional neural network model for predicting protein-ligand binding affinity based on residue-atom contacting shells
by: Wang, Zechen, et al.
Published: (2022)

Probabilistic prediction of protein-protein interactions from the protein sequences
by: Chinnasamy, A., et al.
Published: (2013)

Effect of training datasets on support vector machine prediction of protein-protein interactions
by: Lo, S.L., et al.
Published: (2014)

DIFFERENTIAL BINDING AFFINITY OF dsRNA BINDING DOMAIN OF MOSQUITO STAUFEN ON SUB-GENOMIC FLAVIVIRAL RNA OF DENGUE VIRUS.
by: GAYATHIRI SATHIAMOORTHY KANNAN
Published: (2021)

A survey of computational methods for protein complex prediction from protein interaction networks
by: Srihari, S., et al.
Published: (2013)

Protein function prediction via protein-protein interaction - a Support Vector Machine approach
by: LO SIAW LING
Published: (2010)

Graph - Based Methods for Protein Function Prediction
by: CHUA HON NIAN
Published: (2011)

Homology-free prediction of functional class of proteins and peptides by support vector machines
by: Zhu, F., et al.
Published: (2014)

Amino-acid residue association models for large scale protein-protein interaction prediction
by: Rao, R., et al.
Published: (2014)

Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture
by: Le, N.Q.K., et al.
Published: (2021)

Structure of the Arabidopsis thaliana DCL4 DUF283 domain reveals a noncanonical double-stranded RNA-binding fold for protein - Protein interaction
by: Qin, H., et al.
Published: (2011)

Genetic mutations in RNA-binding proteins and their roles in ALS
by: Kapeli, K, et al.
Published: (2020)

Prediction of pathogenic and antigenic proteins and peptides by machine learning approach
by: CUI JUAN
Published: (2019)

Effect of training datasets on support vector machine prediction of protein-protein interactions
by: LO, Siaw Ling, et al.
Published: (2005)

Using indirect protein-protein interactions for protein complex prediction
by: Chua, H.N., et al.
Published: (2013)

RNA-binding protein RBM24 is required for sarcomere assembly and heart contractility
by: Poon, K.L., et al.
Published: (2014)

Computational detection of protein complexes in AP-MS experiments
by: Choi, H.
Published: (2014)

CHARACTERIZATION OF AN RNA-BINDING PROTEIN LRP2 IN ARABIDOPSIS
by: ZHANG YU
Published: (2021)

Prediction of novel biochemical class disease related proteins and microRNAs by machine learning approach
by: ZHANG HAILEI
Published: (2010)

RNA alternative splicing prediction with discrete compositional energy network
by: Chan, Alvin, et al.
Published: (2022)

Dynamic transcriptome changes during adipose tissue energy expenditure reveal critical roles for long noncoding RNA regulators
by: Bai, Zhiqiang, et al.
Published: (2018)

Discovering interacting domains and motifs in protein-protein interactions
by: Hugo, W., et al.
Published: (2013)

Protein-protein interactions prediction via multimodal deep polynomial network and regularized extreme learning machine
by: Lei, Haijun, et al.
Published: (2020)

Clustering-based approach for predicting motif pairs from protein interaction data
by: Leung, H.C.-M., et al.
Published: (2013)

Structural elucidation of estrus urinary lipocalin protein (EULP) and evaluating binding affinity with pheromones using molecular docking and fluorescence study
by: Rajesh, Durairaj, et al.
Published: (2016)

Novel RNA-and FMRP-binding protein TRF2-S regulates axonal mRNA transport and presynaptic plasticity
by: Zhang, P, et al.
Published: (2020)

Prediction of functional class of novel plant proteins by a statistical learning method
by: Han, L.Y., et al.
Published: (2014)

PCalign: A method to quantify physicochemical similarity of protein-protein interfaces
by: Cheng, S, et al.
Published: (2020)

Improving protein solubility and activity by introducing small peptide tags designed with machine learning models
by: Han, X., et al.
Published: (2021)

UNDERSTANDING PHASE SEPARATION OF RNA BINDING PROTEINS HNRNPA1 AND HNRNPA2
by: SHAGUN SRIVASTAVA
Published: (2021)

Crystal structure and functional analysis of mycobacterial erythromycin resistance methyltransferase Erm38 reveals its RNA-binding site
by: Goh, Boon Chong, et al.
Published: (2022)