BioMed Research International

Current Computational Models for Prediction of the Varied Interactions Related to Noncoding RNAs


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Published

Lead Editor
Guest Editors

1China University of Mining and Technology, Xuzhou, China

2Wake Forest University, Winston-Salem, USA

3Houston Methodist Research Institute, Houston, USA


Current Computational Models for Prediction of the Varied Interactions Related to Noncoding RNAs

Description

In recent years, an increasing number of experimental studies have shown that plenty of noncoding RNAs (ncRNAs) do not constitute transcriptional noise but play important roles in critical biological processes such as transcriptional and posttranscriptional regulation, epigenetic regulation, organ or tissue development, cell differentiation, cell cycle control, cellular transport, metabolic processes, and chromosome dynamics. Considering the important roles of ncRNAs in various biological processes, it is of no surprise that mutations and dysregulations of ncRNAs have been linked to the development and progression of a broad range of complex human diseases, such as breast cancer, hepatocellular cancer, prostate cancer, colon cancer, bladder cancer, thyroid cancer, lung cancer, ovarian cancer, leukemia, Alzheimer’s disease, diabetes, and HIV. The development of computational models to predict the various ncRNA-related interactions benefits the inference of ncRNA function, the identification of how ncRNA’s are associated to disease, ncRNA biomarker detection, and the potential design of drug targets.

We invite investigators to contribute reviews and original papers describing recent findings in the field of computational models for prediction of the varied interactions related to noncoding RNAs, such as ncRNA-disease association prediction, ncRNA functional similarity network construction, ncRNA function prediction, and miRNA-target interactions prediction.

Potential topics include, but are not limited to:

  • ncRNA-disease association prediction
  • ncRNA functional similarity network construction
  • ncRNA function prediction
  • miRNA-target interaction prediction
  • Disease-related ncRNA-environmental factor interaction prediction
  • miRNA-transcriptional factor interaction prediction
  • ncRNA biomarker detection
  • ncRNA and drug design
  • ncRNA and PPI

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 4183574
  • - Editorial

Current Computational Models for Prediction of the Varied Interactions Related to Noncoding RNAs

Xing Chen | Huiming Peng | Zheng Yin
  • Special Issue
  • - Volume 2016
  • - Article ID 8496165
  • - Review Article

Long Noncoding RNA Identification: Comparing Machine Learning Based Tools for Long Noncoding Transcripts Discrimination

Siyu Han | Yanchun Liang | ... | Wei Du
  • Special Issue
  • - Volume 2016
  • - Article ID 2676282
  • - Research Article

Effect of Dynamic Interaction between microRNA and Transcription Factor on Gene Expression

Qi Zhao | Hongsheng Liu | ... | Xiaoqiang Sun
  • Special Issue
  • - Volume 2016
  • - Article ID 3164238
  • - Research Article

Transcriptional Regulation of lncRNA Genes by Histone Modification in Alzheimer’s Disease

Guoqiang Wan | Wenyang Zhou | ... | Qinghua Jiang
  • Special Issue
  • - Volume 2016
  • - Article ID 2503023
  • - Research Article

Identification and Characterization of Small Noncoding RNAs in Genome Sequences of the Edible Fungus Pleurotus ostreatus

Jibin Qu | Mengran Zhao | ... | Chenyang Huang
  • Special Issue
  • - Volume 2016
  • - Article ID 7460740
  • - Research Article

A Meta-Path-Based Prediction Method for Human miRNA-Target Association

Jiawei Luo | Cong Huang | Pingjian Ding
  • Special Issue
  • - Volume 2016
  • - Article ID 9565689
  • - Research Article

BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species

Limin Jiang | Jingjun Zhang | ... | Quan Zou
  • Special Issue
  • - Volume 2016
  • - Article ID 4130861
  • - Research Article

Annotating the Function of the Human Genome with Gene Ontology and Disease Ontology

Yang Hu | Wenyang Zhou | ... | Liang Cheng
  • Special Issue
  • - Volume 2016
  • - Article ID 7562085
  • - Research Article

Human Ribosomal RNA-Derived Resident MicroRNAs as the Transmitter of Information upon the Cytoplasmic Cancer Stress

Masaru Yoshikawa | Yoichi Robertus Fujii
  • Special Issue
  • - Volume 2016
  • - Article ID 4563524
  • - Research Article

Ens-PPI: A Novel Ensemble Classifier for Predicting the Interactions of Proteins Using Autocovariance Transformation from PSSM

Zhen-Guo Gao | Lei Wang | ... | Yong Zhou
BioMed Research International
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Acceptance rate31%
Submission to final decision67 days
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CiteScore3.600
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