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Chapman University

Mathematics, Physics, and Computer Science Faculty Articles and Research

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Combined Use Of Donepezil And Memantine Increases The Probability Of Five-Year Survival Of Alzheimer’S Disease Patients, Ehsan Yaghmaei, Hongxia Lu, Louis Ehwerhemuepha, Jianwei Zheng, Sidy Danioko, Ahmad Rezaie, Seyed Ahmad Sajjadi, Cyril Rakovski May 2024

Combined Use Of Donepezil And Memantine Increases The Probability Of Five-Year Survival Of Alzheimer’S Disease Patients, Ehsan Yaghmaei, Hongxia Lu, Louis Ehwerhemuepha, Jianwei Zheng, Sidy Danioko, Ahmad Rezaie, Seyed Ahmad Sajjadi, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

Background

Alzheimer’s disease (AD) is the most common neurodegenerative disease. Studying the effects of drug treatments on multiple health outcomes related to AD could be beneficial in demonstrating which drugs reduce the disease burden and increase survival.

Methods

We conducted a comprehensive causal inference study implementing doubly robust estimators and using one of the largest high-quality medical databases, the Oracle Electronic Health Records (EHR) Real-World Data. Our work was focused on the estimation of the effects of the two common Alzheimer’s disease drugs, Donepezil and Memantine, and their combined use on the five-year survival since initial diagnosis of AD patients. …


Atomistic Simulations And In Silico Mutational Profiling Of Protein Stability And Binding In The Sars-Cov-2 Spike Protein Complexes With Nanobodies: Molecular Determinants Of Mutational Escape Mechanisms, Gennady M. Verkhivker, Steve Agajanian, Deniz Yasar Oztas, Grace Gupta Sep 2021

Atomistic Simulations And In Silico Mutational Profiling Of Protein Stability And Binding In The Sars-Cov-2 Spike Protein Complexes With Nanobodies: Molecular Determinants Of Mutational Escape Mechanisms, Gennady M. Verkhivker, Steve Agajanian, Deniz Yasar Oztas, Grace Gupta

Mathematics, Physics, and Computer Science Faculty Articles and Research

Structure-functional studies have recently revealed a spectrum of diverse high-affinity nanobodies with efficient neutralizing capacity against SARS-CoV-2 virus and resilience against mutational escape. In this study, we combine atomistic simulations with the ensemble-based mutational profiling of binding for the SARS-CoV-2 S-RBD complexes with a wide range of nanobodies to identify dynamic and binding affinity fingerprints and characterize the energetic determinants of nanobody-escaping mutations. Using an in silico mutational profiling approach for probing the protein stability and binding, we examine dynamics and energetics of the SARS-CoV-2 complexes with single nanobodies Nb6 and Nb20, VHH E, a pair combination VHH E + …