ArticleScientific reports2014
Computational prediction of microRNA networks incorporating environmental toxicity and disease etiology.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
26 citing papers in PubMed.
- Quantitative prediction model for affinity of drug-target interactions based on molecular vibrations and overall system of ligand-receptor.BMC bioinformatics · 2021Article
- Analysis of MicroRNA Expression Changes During the Course of Therapy In Rectal Cancer Patients.Frontiers in oncology · 2021Article
- MSFSP: A Novel miRNA-Disease Association Prediction Model by Federating Multiple-Similarities Fusion and Space Projection.Frontiers in genetics · 2020Article
- MicroRNAs as Epigenetic Targets of Cigarette Smoke During Embryonic Development.MicroRNA (Shariqah, United Arab Emirates) · 2020Review
- LSGSP: a novel miRNA-disease association prediction model using a Laplacian score of the graphs and space projection federated method.RSC advances · 2019Article
- Effects of short-time exposure to atrazine on miRNA expression profiles in the gonad of common carp (Cyprinus carpio).BMC genomics · 2019Article
- miRNA-17 promotes nasopharyngeal carcinoma radioresistance by targeting PTEN/AKT.International journal of clinical and experimental pathology · 2019Article
- A network-based approach to uncover microRNA-mediated disease comorbidities and potential pathobiological implications.NPJ systems biology and applications · 2019Article
- Bipartite Heterogeneous Network Method Based on Co-neighbor for MiRNA-Disease Association Prediction.Frontiers in genetics · 2019Article
- A novel information diffusion method based on network consistency for identifying disease related microRNAs.RSC advances · 2018Article
- Inferring microRNA-Environmental Factor Interactions Based on Multiple Biological Information Fusion.Molecules (Basel, Switzerland) · 2018Article
- Dme-Hsa Disease Database (DHDD): Conserved Human Disease-Related miRNA and Their Targeting Genes inInternational journal of molecular sciences · 2018Article
- Inferring potential small molecule-miRNA association based on triple layer heterogeneous network.Journal of cheminformatics · 2018Article
- Global Similarity Method Based on a Two-tier Random Walk for the Prediction of microRNA-Disease Association.Scientific reports · 2018Article
- The Role of MicroRNAs in Environmental Risk Factors, Noise-Induced Hearing Loss, and Mental Stress.Antioxidants & redox signaling · 2018Review
- A Computational Systems Pharmacology Approach to Investigate Molecular Mechanisms of Herbal Formula Tian-Ma-Gou-Teng-Yin for Treatment of Alzheimer's Disease.Frontiers in pharmacology · 2018Article
- Non-coding RNA networks in cancer.Nature reviews. Cancer · 2018Review
- Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy.Journal of chemical information and modeling · 2017Article
- Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders.Frontiers in pharmacology · 2017Article
- The gain and loss of long noncoding RNA associated-competing endogenous RNAs in prostate cancer.Oncotarget · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
MicroRNAs (miRNAs) play important roles in multiple biological processes and have attracted much scientific attention recently. Their expression can be altered by environmental factors (EFs), which are associated with many diseases. Identification of the phenotype-genotype relationships among miRNAs, EFs, and diseases at the network level will help us to better understand toxicology mechanisms and disease etiologies. In this study, we developed a computational systems toxicology framework to predict new associations among EFs, miRNAs and diseases by integrating EF structure similarity and disease phenotypic similarity. Specifically, three comprehensive bipartite networks: EF-miRNA, EF-disease and miRNA-disease associations, were constructed to build predictive models. The areas under the receiver operating characteristic curves using 10-fold cross validation ranged from 0.686 to 0.910. Furthermore, we successfully inferred novel EF-miRNA-disease networks in two case studies for breast cancer and cigarette smoke. Collectively, our methods provide a reliable and useful tool for the study of chemical risk assessment and disease etiology involving miRNAs.
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