rhodopsin 2 (KR2) is a typical light-driven sodium pump. Although wild-type KR2 exhibits high Na selectivity, mutagenesis performed on the residues constituting the entrance enables permeation of K and Cs, while the underlying mechanism remains elusive. This study presents a comprehensive molecular dynamics investigation, including force field optimization, metadynamics, and alchemical free energy methods, to explore the N61L/G263F mutant of KR2, which exhibits transportability for K and Cs. The introduced Phe263 residue can directly promote ion binding at the entrance through cation-π interactions, while the N61L mutation can enhance ion binding at Phe46 by relieving steric hindrance. These results suggest that cation-π interactions may significantly influence the ion transportability and selectivity of KR2, which can provide important insights for protein engineering and the design of artificial ion transporters.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.jcim.3c01883DOI Listing

Publication Analysis

Top Keywords

cation-π interactions
12
influence ion
8
ion transportability
8
light-driven sodium
8
sodium pump
8
molecular dynamics
8
kr2 exhibits
8
ion binding
8
ion
5
kr2
5

Similar Publications

Drug Development.

Alzheimers Dement

December 2024

Biogen, Cambridge, MA, USA.

Background: Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by the formation of amyloid-beta (Aβ) plaques and neurofibrillary tangles (NFTs) composed of tau aggregates. Research in animal models has generated hypotheses on the underlying mechanisms of the interaction between Aβ and tau pathology. In support of this interaction, results from clinical trials have shown that treatment with anti-Aβ monoclonal antibodies (mAbs) affects tau pathology.

View Article and Find Full Text PDF

Drug Development.

Alzheimers Dement

December 2024

Fundacion Neuropolis, Zaragoza, Zaragoza, Spain.

Background: The therapeutic management of dementia with Lewy bodies (LBD) is a challenge given the high sensitivity to drugs in this disease. This is particularly sensitive with regard to the management of parkinsonism. In particular, treatment of motor symptoms with levodopa or dopaminergic agonists poses a risk of worsening cognitive and behavioral symptoms.

View Article and Find Full Text PDF

Background: Immunotherapy of Alzheimer's disease (AD) is a promising approach to reducing the accumulation of beta-amyloid, a critical event in the onset of the disease. Targeting the group II metabotropic glutamate receptors, mGluR2 and mGluR3, could be important in controlling Aβ production, although their respective contribution remains unclear due to the lack of selective tools.

Method: 5xFAD mice were chronically treated by a brain penetrant camelid single domain antibody (VHH or nanobody) that is an activator of mGluR2.

View Article and Find Full Text PDF

Background: Genetic studies indicate a causal role for microglia, the innate immune cells of the central nervous system (CNS), in Alzheimer's disease (AD). Despite the progress made in identifying genetic risk factors, such as CD33, and underlying molecular changes, there are currently limited treatment options for AD. Based on the immune-inhibitory function of CD33, we hypothesize that inhibition of CD33 activation may reverse microglial suppression and restore their ability to resolve inflammatory processes and mitigate pathogenic amyloid plaques, which may be neuroprotective.

View Article and Find Full Text PDF

Background: Developing drugs for treating Alzheimer's disease (AD) has been extremely challenging and costly due to limited knowledge on underlying biological mechanisms and therapeutic targets. Repurposing drugs or their combination has shown potential in accelerating drug development due to the reduced drug toxicity while targeting multiple pathologies.

Method: To address the challenge in AD drug development, we developed a multi-task machine learning pipeline to integrate a comprehensive knowledge graph on biological/pharmacological interactions and multi-level evidence on drug efficacy, to identify repurposable drugs and their combination candidates RESULT: Using the drug embedding from the heterogeneous graph representation model, we ranked drug candidates based on evidence from post-treatment transcriptomic patterns, mechanistic efficacy in preclinical models, population-based treatment effect, and Phase 2/3 clinical trials.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!