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SSC: a tool for constructing libraries for systematic screening of conformers.

Sanliang Ling1, Maciej Gutowski

  • 1Chemistry--School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, United Kingdom. s.ling@hw.ac.uk

Journal of Computational Chemistry
|April 2, 2011
PubMed
Summary

This study introduces a systematic conformational search method for chain-like molecules, enhancing computational chemistry efficiency. The Systematic Screening of Conformers (SSC) tool identifies the most stable molecular structures and their properties.

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Area of Science:

  • Computational Chemistry
  • Molecular Modeling
  • Structural Biology

Background:

  • Molecules can exist in multiple stable arrangements called conformers, posing a challenge for accurate modeling.
  • Standard computational methods often find the nearest minimum, not necessarily the most stable conformer, especially for larger molecules.

Purpose of the Study:

  • To develop an automated, systematic approach for exploring the conformational space of chain-like molecules.
  • To identify the most stable conformers and their physicochemical properties efficiently.

Main Methods:

  • A novel automated method for systematic conformational space search in chain-like molecules.
  • Utilizes a Systematic Screening of Conformers (SSC) tool for prescreening and higher-level evaluation.
  • Employs cylindrical coordinates to rotate molecular fragments, avoiding steric clashes and unchemical hybridizations.

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Main Results:

  • The SSC tool successfully generated a library of relevant conformers for 2'-deoxycytidine.
  • The method effectively identified the most stable conformers and their properties through multi-level theoretical evaluation.
  • Demonstrated avoidance of common issues like steric clashes encountered with standard Z-matrix methods.

Conclusions:

  • The developed systematic conformational search method provides an efficient and reliable way to find stable molecular conformers.
  • This approach enhances the accuracy of molecular modeling by ensuring exploration beyond the nearest energy minimum.
  • Applicable to various chain-like molecules, including biologically relevant structures like nucleosides.