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RAMBLE: a conformational search program.

T D Perkins1, D J Barlow

  • 1Department of Pharmacy, King's College London, UK.

Journal of Molecular Graphics
|September 1, 1990
PubMed
Summary
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RAMBLE software efficiently explores molecular conformations for cyclic and looped structures. It filters results based on energy and user-defined constraints, successfully modeling complex molecules.

Area of Science:

  • Computational chemistry
  • Molecular modeling
  • Structural biology

Background:

  • Exploring the conformational space of cyclic and looped molecules is crucial for understanding their properties and functions.
  • Existing methods for conformational searching can be computationally intensive and may not efficiently explore all relevant possibilities.

Purpose of the Study:

  • To introduce RAMBLE, a novel computational program designed for efficient conformational searching of cyclic and looped molecules.
  • To validate the RAMBLE program's effectiveness in modeling diverse molecular structures.

Main Methods:

  • RAMBLE utilizes random assignment of internal coordinates to generate molecular conformations.
  • Generated conformations are screened for unfavorable intramolecular contacts and user-defined constraints (bonded/nonbonded distances, angles).

Related Experiment Videos

  • The program's methodology is compared against alternative conformational search strategies.

    • Main Results:

    • RAMBLE successfully modeled the conformational space of cyclohexane, a representative cyclic molecule.
    • The program accurately predicted structures for reverse-turn tetrapeptides, relevant in protein secondary structure.
    • RAMBLE demonstrated efficacy in modeling a complex bacterial siderophore structure.

    Conclusions:

    • RAMBLE provides an effective and efficient approach for exploring the conformational landscape of cyclic and looped molecules.
    • The program's ability to incorporate energetic filtering and user constraints enhances its utility in molecular modeling.
    • RAMBLE's successful applications highlight its potential for advancing research in computational chemistry and structural biology.