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Analyzing and Building Nucleic Acid Structures with 3DNA

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Sequence-structure relationships in DNA oligomers: a computational approach.

M J Packer¹, C A Hunter

¹Contribution from the Krebs Institute for Biomolecular Science, Department of Chemistry, University of Sheffield, Sheffield, S3 7HF England. m.j.packer@shef.ac.uk

Journal of the American Chemical Society

|July 27, 2001

Summary

A new DNA structure model accurately predicts oligomer conformations by analyzing base stacking. It identifies sequence-dependent structures and low-energy states matching experimental data for most DNA samples.

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Area of Science:

Computational biology
Structural biology
Biophysics

Background:

Predicting DNA structure is crucial for understanding its function.
Sequence-dependent variations in DNA conformation (A- and B-DNA) are complex.
Experimental data provides valuable benchmarks for structural models.

Purpose of the Study:

To develop and validate a collective-variable model for predicting DNA oligomer structures.
To investigate the influence of base stacking on sequence-dependent DNA conformations.
To compare model predictions with high-resolution crystal structures.

Main Methods:

Utilized a collective-variable model with all-atom base pairs and an empirical backbone.
Employed a genetic algorithm and grid search to find global and local minimum energy structures.
Analyzed trends in roll and twist parameters for A- and B-DNA oligomers.

Main Results:

Reproduced experimental trends in roll and twist within 5 degrees for diverse DNA oligomers.
Found that the number of local minimums is highly sequence-dependent.
Identified low-energy local minimums matching experimental step parameters for 24 out of 30 oligomers.

Conclusions:

The model successfully predicts DNA oligomer conformations, highlighting the importance of base stacking.
Sequence-specific structural variations and the presence of multiple low-energy states were observed.
Discrepancies suggest the influence of crystal packing on solid-state DNA conformation.