A5088129571- Computational Drug Discovery Methods
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Asthma and respiratory diseases
- Enzyme Structure and Function
- Gene Regulatory Network Analysis
- Genetics, Bioinformatics, and Biomedical Research
- Pharmacogenetics and Drug Metabolism
- COVID-19 Clinical Research Studies
- Health Systems, Economic Evaluations, Quality of Life
- Biochemical and Molecular Research
- Neuroscience of respiration and sleep
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Influenza Virus Research Studies
- Breast Cancer Treatment Studies
- Synthesis and biological activity
- Protein Structure and Dynamics
- Pharmacological Receptor Mechanisms and Effects
- Biosensors and Analytical Detection
- Receptor Mechanisms and Signaling
- Nonlinear Dynamics and Pattern Formation
- Neuroendocrine regulation and behavior
- Bacteriophages and microbial interactions
- Bioinformatics and Genomic Networks
- Immune Response and Inflammation
- Inhalation and Respiratory Drug Delivery
Rochester General Hospital
2019-2022
University at Buffalo, State University of New York
2022
Jacobs (United States)
2022
Rochester Institute of Technology
2018-2021
Ibero American University
2019
Bronchoalveolar lavage of the epithelial lining fluid (BALF) can sample profound changes in airway lumen milieu prevalent chronic obstructive pulmonary disease (COPD). We compared BALF proteome ex-smokers with moderate COPD who are not exacerbation status to non-smoking healthy control subjects and applied proteome-scale translational bioinformatics approaches identify potential therapeutic protein targets drugs that modulate these proteins for treatment COPD. Proteomic profiles were...
Abstract A major complication in COVID-19 infection consists the onset of acute respiratory distress fueled by a dysregulation host immune network that leads to run-away cytokine storm. Here, we present an silico approach captures system’s complex regulatory dynamics, allowing us identify and rank candidate drugs drug pairs engage with minimal subsets mediators such their downstream interactions effectively disrupt signaling cascades driving Drug–target are extracted from peer-reviewed...
Are touchscreen devices a public health risk for the transmission of pathogenic bacteria, especially those that are resistant to antibiotics? To investigate this, we embarked on project aimed at isolating and identifying bacteria antibiotics from screens smartphones. Touchscreen have become ubiquitous in society, it is important evaluate potential risks they pose towards health, as pertains harboring antibiotics. Sixteen were initially isolated which five unique (four Staphylococcus species...
A significant cause of morbidity in COVID-19 infected patients admitted to the hospital is a severe dysregulated inflammatory response characterized as cytokine storm, key component acute respiratory distress syndrome (ARDS). Here we have assembled basic immune regulatory model from list 19 mediators with reported involvement storm. Automated text-mining over 2,500 full text journal publications using MedScan natural language processing (NLP) engine identified 112 documented interactions...
Abstract Rationale Bronchoalveolar lavage of the epithelial lining fluid can sample profound changes in airway lumen milieu prevalent Chronic Obstructive Pulmonary Disease (COPD). Characterizing proteins bronchoalveolar COPD with advanced proteomic methods will identify disease-related changes, provide insight into pathogenetic mechanisms and potential therapeutics that aid discovery more effective for COPD. Objectives We compared proteome ex-smokers moderate who are not exacerbation status...
Efforts to treat chronic diseases are often obstructed by the complexity of biological mechanisms supporting pathology. Here, we apply a novel method for discrete logical modeling systems problem infectious exacerbations in obstructive pulmonary disease (COPD), using data from human clinical studies constrain selection decisional logic parameters. We obtained two candidate models satisfactorily adhering available data. A predicted resting state with no activation inflammatory markers was...
Abstract Modeling of systems for which data is limited often leads to underdetermined model identification problems, where multiple candidate models are equally adherent data. In such situations additional optimality criteria useful in selection apart from the conventional minimization error and complexity. This work presents attractor landscape as a domain novel criteria, number location attractors impact desirability. A set describing immune response dynamics SARS-CoV infection used an...
Pulsatile dynamics are a key regulatory behavior in many biological systems, but perform poorly using conventional logic network methods. This work addresses the relatively poor performance of models when applied to pulse dynamic scenarios by implementing novel update scheme. Models from this scheme and traditional compared canonical examples, i.e. van der Pol oscillator Hypothalamic-Pituitary-Gonadal (HPG) axis. By incorporating new scheme, authors show 35% (11%) reduction global minimum...
The co-occurrence of stress-induced posttraumatic stress disorder (PTSD) and obesity is common, particularly among military personnel but the link between these conditions unclear. Individuals with comorbid PTSD manifest other physical psychological problems, which significantly diminish their quality life. Current understanding pathways connecting to focused largely on behavioral mediators alone little consideration biological regulatory mechanisms that underlie co-occurrence. In this work,...
The Protein Structure Initiative (PSI) was an effort by consortiums to solve as many unique protein structures possible; the Data Bank contains a number of enzymes whose have been solved, but for which no enzymatic activity has determined. Enzyme Function (EFI) is determine enzyme functions possible. There are putative NUDIX Hydrolase superfamily members We catalogued structurally‐determined within using PDB, BLAST, Dali, and SCOP. now in process characterizing these biochemistry teaching...
Early patient discontinuation from adjuvant endocrine treatment (ET) is multifactorial and complex: Patients must adapt to various challenges make the best decisions they can within changing contexts over time. Predictive models are needed that account for influence of multiple factors time as well decisional uncertainty due incomplete data. AtlasTi8 analyses longitudinal interview data 82 estrogen receptor-positive (ER+) breast cancer patients generated a model conceptualizing patient-,...
The Structural Genomics Initiative was an effort by consortiums to solve as many unique protein structures possible; the Protein Data Bank contains a number of enzymes whose have been solved, but for which no enzymatic activity has determined. Enzyme Function is determine enzyme functions possible. There are putative NUDIX Hydrolase superfamily members We catalogued structurally-determined within using BLAST, Dali, SCOP, and PDB. then began characterize these in biochemistry teaching...