Molecular Dynamics Simulations for Deciphering the Structural Basis of Recognition of Pre-let-7 miRNAs by LIN28

Chhaya Sharma1, Debasisa Mohanty1

  • 1Bioinformatics Center, National Institute of Immunology , Aruna Asaf Ali Marg, New Delhi 110067, India.

Biochemistry
|January 12, 2017
PubMed

Insights

LIN28 protein inhibits let-7 miRNA biogenesis, a process crucial in cancer. Molecular dynamics simulations reveal that pre-let-7 miRNA loop structure, not just sequence, dictates LIN28 binding, offering targets for cancer therapy.

Area of Science:

  • Molecular Biology
  • Structural Biology
  • Computational Biology

Background:

  • LIN28 protein inhibits let-7 microRNA (miRNA) biogenesis by binding to precursor miRNAs.
  • LIN28 overexpression and low let-7 miRNA levels are linked to various cancers.

Purpose of the Study:

  • To identify structural features and specificity-determining residues (SDRs) crucial for LIN28's inhibitory role in let-7 miRNA biogenesis.
  • To provide a theoretical basis for understanding LIN28-mediated repression and potential therapeutic strategies.

Main Methods:

  • Explicit solvent molecular dynamics simulations of pre-miRNAs (preE-let-7) with LIN28.
  • Simulations were conducted for 200-500 ns on different preE-let-7 isoforms, both in complex with LIN28 and in isolation.

Main Results:

  • Conserved loop region structure in preE-let-7 miRNAs is critical for LIN28 recognition, more so than sequence conservation or a specific 3' motif.
  • A minimum five-nucleotide loop facilitates ideal LIN28 binding conformation, though pre-let-7c-2 utilizes a three-nucleotide loop, explaining its escape from repression.
  • Identified 13 LIN28 and 10 pre-miRNA residues as crucial SDRs in the complex.

Conclusions:

  • Pre-miRNA loop structure is a key determinant of LIN28 binding and inhibition.
  • Findings support experimental observations of differential LIN28 repression and suggest potential for designing small molecule inhibitors targeting the LIN28-let-7 interaction in cancer.
  • Identified novel LIN28-like proteins based on conserved SDRs, expanding the understanding of LIN28 family proteins.

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