A program for generation and selection of possible conformations of cyclic molecules

Area of Science:

• Computational chemistry
• Molecular modeling
• Structural biology

Background:

• Predicting three-dimensional molecular structures is crucial in chemistry and biology.
• Non-planar cyclic molecules present unique conformational challenges.
• Existing methods may not fully capture the diversity of molecular conformations.

Purpose of the Study:

• To develop a novel algorithm for generating possible conformations of non-planar cyclic molecules.
• To validate the algorithm's accuracy using known molecular structures.
• To explore the algorithm's applicability to other molecular types.

Main Methods:

• Development of a computer algorithm for conformational analysis.
• Application of the algorithm to generate conformations of specific molecules.
• Validation against experimentally determined or accepted conformations.

Main Results:

• The algorithm successfully generated known conformations for the ribose ring.
• Accurate conformational selection was achieved for substituted cyclohexane molecules.
• The method effectively identified conformations of disulfide bridged peptides.

Conclusions:

• The developed algorithm is a reliable tool for predicting molecular conformations.
• This computational approach can aid in understanding the structure-function relationships of cyclic molecules.
• The algorithm's potential extends to open molecules with defined spatial constraints.