Investigation of the Structure Requirement for 5-HT6 Binding Affinity of Arylsulfonyl Derivatives: A Computational Study
2011

Study of 5-HT6 Ligands for CNS Diseases

Sample size: 223 publication 10 minutes Evidence: moderate

Author Information

Author(s): Hao Ming Li, Yan Li, Li Hanqing, Zhang Shuwei

Primary Institution: Dalian University of Technology

Hypothesis

The study aims to investigate the structure requirement for 5-HT6 binding affinity of arylsulfonyl derivatives.

Conclusion

The developed models can assist in designing novel and potent 5-HT6 ligands for treating CNS diseases.

Supporting Evidence

  • The optimal 3D models exhibit satisfying statistical results with r2ncv, q2 values of 0.85 and 0.50 for CoMFA, 0.81 and 0.53 for CoMSIA.
  • The predictive powers were validated by an external test set, showing r2pred of 0.71 and 0.76.
  • The agreement between 3D-QSAR, molecular docking, and molecular dynamics simulation proves the rationality of the developed models.

Takeaway

Researchers looked at how different chemical structures affect the ability of certain drugs to bind to a brain receptor that helps with mood and memory.

Methodology

The study used 3D-QSAR, molecular docking, and molecular dynamics calculations to analyze 223 ligands.

Limitations

The study is limited by the unavailability of the X-ray crystal structure of the 5-HT6 receptor.

Statistical Information

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.3390/ijms12085011

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