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SPA-LN: a scoring function of ligand-nucleic acid interactions via optimizing both specificity and affinity
Zhiqiang Yan1, Jin Wang1,2
1State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China.
Nucleic Acids Research
|April 22, 2017
Summary
We developed SPA-LN, a new knowledge-based scoring function, to accurately quantify nucleic acid-ligand interactions for drug discovery and aptamer design. This method optimizes both affinity and specificity, improving predictions over existing scoring functions.
Area of Science:
- Biochemistry and Molecular Biology
- Computational Chemistry
- Drug Discovery and Development
Background:
- Nucleic acids are crucial targets in drug discovery and aptamer development.
- Accurate quantification of small molecule-nucleic acid interactions is essential for identifying lead compounds and designing aptamers.
- Current scoring functions for nucleic acid-ligand interactions lack predictive power compared to other biomolecular recognition systems.
Purpose of the Study:
- To develop a novel knowledge-based scoring function, SPA-LN, for quantifying nucleic acid-ligand interactions.
- To improve the accuracy of structure-based virtual screening for nucleic acid targets.
- To enhance lead compound discovery and aptamer design through better interaction prediction.
Main Methods:
- Development of a knowledge-based scoring function (SPA-LN) utilizing experimentally determined nucleic acid-ligand complex structures.
- Optimization strategy focused on maximizing both affinity and specificity of native complex structures.
- Implementation of a method to stabilize native conformations and destabilize non-native ones, biasing the binding energy landscape towards the native state.
Main Results:
- SPA-LN was developed and optimized using a novel strategy focusing on both affinity and specificity.
- The scoring function effectively stabilizes native nucleic acid-ligand complex conformations.
- Performance validation demonstrated SPA-LN's improved accuracy in scoring nucleic acid-ligand interactions.
Conclusions:
- SPA-LN represents a more accurate method for scoring nucleic acid-ligand interactions.
- The developed strategy of optimizing for both affinity and specificity enhances predictive power.
- SPA-LN can significantly aid in structure-based virtual screening, drug discovery, and aptamer design.
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