Medicine and Health Sciences Commons^™

Probing Mechanisms Of Binding And Allostery In The Sars-Cov-2 Spike Omicron Variant Complexes With The Host Receptor: Revealing Functional Roles Of The Binding Hotspots In Mediating Epistatic Effects And Communication With Allosteric Pockets, Gennady M. Verkhivker, Steve Agajanian, Ryan Kassab, Keerthi Krishnan

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this study, we performed all-atom MD simulations of RBD–ACE2 complexes for BA.1, BA.1.1, BA.2, and BA.3 Omicron subvariants, conducted a systematic mutational scanning of the RBD–ACE2 binding interfaces and analysis of electrostatic effects. The binding free energy computations of the Omicron RBD–ACE2 complexes and comprehensive examination of the electrostatic interactions quantify the driving forces of binding and provide new insights into energetic mechanisms underlying evolutionary differences between Omicron variants. A systematic mutational scanning of the RBD residues determines the protein stability centers and binding energy hotpots in the Omicron RBD–ACE2 complexes. By employing the ensemble-based global network analysis, we …

Integrating Conformational Dynamics And Perturbation-Based Network Modeling For Mutational Profiling Of Binding And Allostery In The Sars-Cov-2 Spike Variant Complexes With Antibodies: Balancing Local And Global Determinants Of Mutational Escape Mechanisms, Gennady M. Verkhivker, Steve Agajanian, Ryan Kassab, Keerthi Krishnan

Mathematics, Physics, and Computer Science Faculty Articles and Research

n this study, we combined all-atom MD simulations, the ensemble-based mutational scanning of protein stability and binding, and perturbation-based network profiling of allosteric interactions in the SARS-CoV-2 spike complexes with a panel of cross-reactive and ultra-potent single antibodies (B1-182.1 and A23-58.1) as well as antibody combinations (A19-61.1/B1-182.1 and A19-46.1/B1-182.1). Using this approach, we quantify the local and global effects of mutations in the complexes, identify protein stability centers, characterize binding energy hotspots, and predict the allosteric control points of long-range interactions and communications. Conformational dynamics and distance fluctuation analysis revealed the antibody-specific signatures of protein stability and flexibility of the …

Time-To-Event Modeling For Hospital Length Of Stay Prediction For Covid-19 Patients, Yuxin Wen, Md. Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter Mccaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang Bill Tseng

Engineering Faculty Articles and Research

Providing timely patient care while maintaining optimal resource utilization is one of the central operational challenges hospitals have been facing throughout the pandemic. Hospital length of stay (LOS) is an important indicator of hospital efficiency, quality of patient care, and operational resilience. Numerous researchers have developed regression or classification models to predict LOS. However, conventional models suffer from the lack of capability to make use of typically censored clinical data. We propose to use time-to-event modeling techniques, also known as survival analysis, to predict the LOS for patients based on individualized information collected from multiple sources. The performance of six …

Biophysical Insight Into The Sars-Cov2 Spike–Ace2 Interaction And Its Modulation By Hepcidin Through A Multifaceted Computational Approach, Hamid Hadi-Alijanvand, Luisa Di Paola, Guang Hu, David M. Leitner, Gennady M. Verkhivker, Peixin Sun, Humanath Poudel, Alessandro Giuliani

Mathematics, Physics, and Computer Science Faculty Articles and Research

At the center of the SARS-CoV2 infection, the spike protein and its interaction with the human receptor ACE2 play a central role in the molecular machinery of SARS-CoV2 infection of human cells. Vaccine therapies are a valuable barrier to the worst effects of the virus and to its diffusion, but the need of purposed drugs is emerging as a core target of the fight against COVID19. In this respect, the repurposing of drugs has already led to discovery of drugs thought to reduce the effects of the cytokine storm, but still a drug targeting the spike protein, in the infection …

The Impact Of The Covid-19 Pandemic On Care Delivery And Quality Of Life In Lung Cancer Surgery, Dede K. Teteh, Jovani Barajas, Betty Ferrell, Ziaoke Zhou, Loretta Erhunmwunsee, Dan J. Raz, Jae Y. Kim, Virginia Sun

Health Sciences and Kinesiology Faculty Articles

Background

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (COVID-19) pandemic and associated restrictions have altered the delivery of surgical care. The purpose of this study was to explore the impact of COVID-19 on care delivery and quality of life (QOL) from the perspectives of lung cancer surgery patients, family caregivers (FCGs), and thoracic surgery teams.

Methods

Patients/FCGs enrolled in a randomized trial of a self-management intervention for lung cancer surgery preparation/recovery were invited to participate in this qualitative study. Patients/FCGs data were collected separately 1-month postdischarge. Interviews were also conducted with thoracic surgery team members. Content analysis approaches were …

Citizenship Matters: Non-Citizen Covid-19 Mortality Disparities In New York And Los Angeles, Jason A. Douglas, Georgiana Bostean, Angel Miles Nash, Emmanuel B. John, Lawrence M. Brown, Andrew M. Subica

Health Sciences and Kinesiology Faculty Articles

U.S. non-citizen residents are burdened by inequitable access to socioeconomic resources, potentially placing them at heightened risk of COVID-19-related disparities. However, COVID-19 impacts on non-citizens are not well understood. Accordingly, the current study investigated COVID-19 mortality disparities within New York (NYC) and Los Angeles (LAC) to test our hypothesis that areas with large proportions of non-citizens will have disproportionately high COVID-19 mortality rates. We examined ecological associations between March 2020–January 2021 COVID-19 mortality rates (per 100,000 residents) and percent non-citizens (using ZIP Code Tabulation Areas (ZCTA) for NYC and City/Community units of analysis for LAC) while controlling for sociodemographic factors. …

“This Isn’T Just Busy, This Is Scary”: Stress, Social Support, And Coping Experiences Of Frontline Nurses During The Covid-19 Pandemic, Erin S. Craw, Tess M. Buckley, Michelle Miller-Day

Communication Faculty Articles and Research

Despite having previous experience and extensive trauma training, the COVID-19 pandemic presented unprecedented challenges for nurses working in hospital settings. During the pandemic, nurses struggle to care for patients and protect themselves from infection, while navigating ongoing organizational changes. Guided by prior literature on social support and coping, this study explores nurses’ experiences of coping with stress while treating COVID-19 patients during the pandemic. In-depth semi-structured interviews were conducted with 14 active staff nurses working in hospitals and one licensed practical nurse (LPN) at a rehabilitation center who treated COVID-19 patients during the pandemic. An inductive thematic analysis was employed …

Structural And Computational Studies Of The Sars-Cov-2 Spike Protein Binding Mechanisms With Nanobodies: From Structure And Dynamics To Avidity-Driven Nanobody Engineering, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

Nanobodies provide important advantages over traditional antibodies, including their smaller size and robust biochemical properties such as high thermal stability, high solubility, and the ability to be bioengineered into novel multivalent, multi-specific, and high-affinity molecules, making them a class of emerging powerful therapies against SARS-CoV-2. Recent research efforts on the design, protein engineering, and structure-functional characterization of nanobodies and their binding with SARS-CoV-2 S proteins reflected a growing realization that nanobody combinations can exploit distinct binding epitopes and leverage the intrinsic plasticity of the conformational landscape for the SARS-CoV-2 S protein to produce efficient neutralizing and mutation resistant characteristics. Structural …

Allosteric Determinants Of The Sars-Cov-2 Spike Protein Binding With Nanobodies: Examining Mechanisms Of Mutational Escape And Sensitivity Of The Omicron Variant, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

Structural and biochemical studies have recently revealed a range of rationally engineered nanobodies with efficient neutralizing capacity against the SARS-CoV-2 virus and resilience against mutational escape. In this study, we performed a comprehensive computational analysis of the SARS-CoV-2 spike trimer complexes with single nanobodies Nb6, VHH E, and complex with VHH E/VHH V nanobody combination. We combined coarse-grained and all-atom molecular simulations and collective dynamics analysis with binding free energy scanning, perturbation-response scanning, and network centrality analysis to examine mechanisms of nanobody-induced allosteric modulation and cooperativity in the SARS-CoV-2 spike trimer complexes with these nanobodies. By quantifying energetic and allosteric …

The Use Of Advanced Spectral Imaging To Reveal Nanoparticle Identity In Biological Samples, Qamar A. Alshammari, Rajasekharreddy Pala, Ayan K. Barui, Saud O. Alshammari, Andromeda M. Nauli, Nir Katzir, Ashraf M. Mohieldin, Surya M. Nauli

Pharmacy Faculty Articles and Research

Nanoparticles (NPs) have been used in drug delivery therapies, medical diagnostic strategies, and as current Covid-19 vaccine carriers. Many microscope-based imaging systems have been introduced to facilitate detection and visualization of NPs. Unfortunately, none can differentiate the core and the shell of NPs. Spectral imaging has been used to distinguish a drug molecule and its metabolite. We have recently integrated this technology to a resolution of 9 nm by using artificial intelligence-driven analyses. Such a resolution allowed us to collect many robust datapoints for each pixel of an image. Our analyses could recognize 45 spectral points within a pixel to …