Computing Molecular Devices in L.major through Transcriptome Analysis: Structured Simulation Approach.

Area of Science:

• Molecular Biology
• Bioinformatics
• Genomics

Background:

• Non-coding RNAs play crucial roles in gene regulation, but their functions remain largely uncharacterized.
• Assessing gene function often involves gene knockdown or RNA silencing techniques.
• Ribozymes are RNA molecules with catalytic activity that can modulate gene expression.

Purpose of the Study:

• To identify and characterize novel ribozymes within the Leishmania major transcriptome.
• To investigate the structural stability and potential function of a newly discovered ribozyme in the 3' UTR of a Putative ATP dependent DNA helicase (Lmjf_09_0590).

Main Methods:

• Transcriptomic analysis of Leishmania major.
• Structural modeling and molecular dynamics (MD) simulations (30ns and 100ns) with MgCl2.
• In silico validation using RNA normal mode analysis and anisotropic network modelling (ANM).

Main Results:

• A Putative ATP dependent DNA helicase (Lmjf_09_0590) 3' UTR exhibited structural similarity to HDV hammerhead ribozymes.
• MD simulations demonstrated significant structural stability, enhanced by Mg2+ ion interactions.
• In silico analyses (RNA normal mode, ANM) further validated the structural predictions.

Conclusions:

• The identified 3' UTR possesses ribozyme characteristics, suggesting a role in gene regulation.
• The study provides a framework for understanding the functional importance of 3' UTRs and their mechanistic roles.