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Using In Vitro Fluorescence Resonance Energy Transfer to Study the Dynamics Of Protein Complexes at a Millisecond Time Scale
Published on: March 14, 2019
A molecular dynamics study of the binary complexes of APP, JIP1, and the cargo binding domain of KLC
Cooper A Taylor1, Bill R Miller2, Soleil S Shah1
1Department of Chemistry, Gottwald Center for the Sciences, University of Richmond, Richmond, Virgina, 23173.
Abstract:
Mutations in the amyloid precursor protein (APP) are responsible for the formation of amyloid-β peptides. These peptides play a role in Alzheimer's and other dementia-related diseases. The cargo binding domain of the kinesin-1 light chain motor protein (KLC1) may be responsible for transporting APP either directly or via interaction with C-jun N-terminal kinase-interacting protein 1 (JIP1). However, to date there has been no direct experimental or computational assessment of such binding at the atomistic level. We used molecular dynamics and free energy estimations to gauge the affinity for the binary complexes of KLC1, APP, and JIP1. We find that all binary complexes (KLC1:APP, KLC1:JIP1, and APP:JIP1) contain conformations with favorable binding free energies. For KLC1:APP the inclusion of approximate entropies reduces the favorability. This is likely due to the flexibility of the 42-residue APP protein. In all cases we analyze atomistic/residue driving forces for favorable interactions. Proteins 2017; 85:221-234. © 2016 Wiley Periodicals, Inc.
Insights
Amyloid precursor protein (APP) transport by kinesin-1 light chain motor protein (KLC1) was computationally assessed. All tested KLC1, APP, and JIP1 complexes showed favorable binding, though KLC1:APP binding was less favorable due to APP flexibility.
Area of Science:
- Molecular Biology
- Neuroscience
- Biophysics
Background:
- Mutations in amyloid precursor protein (APP) lead to amyloid-beta peptides implicated in Alzheimer's disease and dementia.
- Kinesin-1 light chain motor protein (KLC1) is hypothesized to transport APP, potentially interacting with JIP1.
Purpose of the Study:
- To computationally assess the binding affinity of KLC1, APP, and JIP1 at the atomistic level.
- To investigate the molecular interactions governing the transport of APP by KLC1.
Main Methods:
- Molecular dynamics simulations were employed to analyze the interactions within binary complexes.
- Free energy estimations were used to quantify the binding affinities of KLC1:APP, KLC1:JIP1, and APP:JIP1.
Main Results:
- All binary complexes exhibited conformations with favorable binding free energies.
- The KLC1:APP complex showed reduced binding favorability when considering approximate entropies, attributed to APP's flexibility.
- Atomistic and residue-level driving forces for favorable interactions were identified in all complexes.
Conclusions:
- The study provides the first atomistic computational assessment of KLC1, APP, and JIP1 interactions.
- Favorable binding interactions exist between these proteins, offering insights into APP transport mechanisms relevant to neurodegenerative diseases.
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