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Structure-Based Target-Specific Screening Leads to Small-Molecule CaMKII Inhibitors
David Xu1,2, Liwei Li3, Donghui Zhou3
1Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Chemmedchem
|April 4, 2017
Summary
This study developed a target-specific scoring method (SVMSP) to identify kinase inhibitors. SVMSP successfully identified quinazoline compound 1 (KIN-1) which inhibits CaMKIIδ, demonstrating potential for specific drug discovery.
Area of Science:
- Biochemistry
- Medicinal Chemistry
- Computational Biology
Background:
- Target-specific scoring methods are crucial for identifying small-molecule inhibitors.
- Assessing inhibitor specificity across protein families is often overlooked.
Purpose of the Study:
- To evaluate the efficacy of a novel target-specific scoring method, Support Vector Machine SPecific (SVMSP), for identifying kinase inhibitors.
- To assess the activity and specificity of identified inhibitors across the kinome.
Main Methods:
- Docking a chemical library into CaMKIIδ.
- Re-scoring protein-compound structures using the developed SVMSP method.
- Profiling selected compounds and analogues against 337 kinases.
- Conducting molecular dynamics simulations and MM-GBSA free-energy calculations.
Main Results:
- SVMSP identified three initial hits, including quinazoline compound 1 (KIN-1), which inhibited CaMKIIδ with single-digit micromolar IC50.
- Compound 6 (an analogue of KIN-1) showed inhibition for CaMKIIδ and CaMKIIγ within the top ten targets (IC50 5-22 μm).
- Molecular dynamics revealed specific residue engagement in the ATP binding pocket and conformational changes upon binding.
Conclusions:
- The SVMSP method shows promise for identifying small-molecule kinase inhibitors with target specificity.
- This approach aids in discovering inhibitors that are selective within large protein families like kinases.
- Further studies can leverage SVMSP for more efficient and specific drug discovery.