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Structural miRNA-lncRNA Interaction Database: Integrating Structural Insights for Enhanced Predictive Modeling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work introduces a comprehensive miRNA-lncRNA interaction database that uniquely integrates structural information for both miRNAs and lncRNAs. The database includes extensive characterization of sequences, secondary structures, and interactions, enhancing its utility for predictive modeling in bioinformatics and systems biology. By providing a validated and detailed resource, such as lncRNASNP2-Human, this database aims to support and improve future predictions of miRNA-lncRNA interactions, with potential applications in disease research, particularly in cancer, and other areas of biomedical science. The construction and structure of the database are presented, along with a detailed description of the types of data it contains, and potential applications or uses of this database are mentioned at the end.

Original languageEnglish
Title of host publication2024 IEEE 42nd Central America and Panama Convention, CONCAPAN 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Edition2024
ISBN (Electronic)9798350366723
DOIs
StatePublished - 2024
Externally publishedYes
Event42nd IEEE Central America and Panama Convention, CONCAPAN 2024 - San Jose, Costa Rica
Duration: 27 Nov 202429 Nov 2024

Conference

Conference42nd IEEE Central America and Panama Convention, CONCAPAN 2024
Country/TerritoryCosta Rica
CitySan Jose
Period27/11/2429/11/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • database
  • interaction characterization
  • interactions prediction
  • miRNA-lncRNA interaction
  • secondary structures
  • sequence characterization
  • structural characterization

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