A5002248161- Bioinformatics and Genomic Networks
- Computational Drug Discovery Methods
- Neuroscience and Neuropharmacology Research
- Cannabis and Cannabinoid Research
- Neural dynamics and brain function
- Mitochondrial Function and Pathology
- stochastic dynamics and bifurcation
- Genetic Neurodegenerative Diseases
- Microbial Metabolic Engineering and Bioproduction
- Genetic Associations and Epidemiology
- Machine Learning in Bioinformatics
- Neuroscience and Neural Engineering
- SARS-CoV-2 and COVID-19 Research
- Cholinesterase and Neurodegenerative Diseases
- Pharmacogenetics and Drug Metabolism
- Probiotics and Fermented Foods
- Neurotransmitter Receptor Influence on Behavior
- Sleep and Wakefulness Research
- Protein Degradation and Inhibitors
- Photoreceptor and optogenetics research
- Genomics and Rare Diseases
- COVID-19 epidemiological studies
- RNA and protein synthesis mechanisms
- COVID-19 Clinical Research Studies
- Endoplasmic Reticulum Stress and Disease
Cyprus Institute of Neurology and Genetics
2017-2025
University of Nicosia
2015-2021
University of Cyprus
2013-2014
University of Nottingham
2006-2010
Google (United States)
2010
University of Houston
2009
This study aims to highlight SARS-COV-2 mutations which are associated with increased or decreased viral virulence. We utilize genetic data from all strains available GISAID and countries’ regional information, such as deaths cases per million, well COVID-19-related public health austerity measure response times. Initial indications of selective advantage specific can be obtained calculating their frequencies across strains. By applying modelling approaches, we provide additional information...
The abundance of available information for each disease from multiple sources (e.g. as genetic, regulatory, metabolic, and protein-protein interaction) constitutes both an advantage a challenge in identifying disease-specific underlying mechanisms. Integration multi-source data is rising topic great precision medicine crucial enhancing understanding, meaningful clusters molecular mechanisms increasing personalisation towards the goal Predictive, Preventive Personalised Medicine (PPPM)....
Huntington’s disease is a rare neurodegenerative caused by cytosine–adenine–guanine (CAG) trinucleotide expansion in the Huntingtin (HTT) gene. Although (HD) well studied, pathophysiological mechanisms, genes and metabolites involved HD remain poorly understood. Systems bioinformatics can reveal synergistic relationships among different omics levels enables integration of biological data. It allows for overall understanding pathways, HD. The purpose this study was to identify differentially...
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is undeniably the most global health emergency since 1918 Influenza outbreak. Depending on its evolutionary trajectory, virus expected to establish itself as an endemic infectious disease exhibiting seasonal flare-ups. Therefore, despite unprecedented rally reach a vaccine that can offer widespread immunization, it equally important effective prevention and treatment regimens for 2019 (COVID-19). Contributing this...
Alzheimer's disease (AD) is a progressive neurodegenerative and the most common type of dementia. With no disease-curing drugs available an ever-growing AD-related healthcare burden, novel approaches for identifying therapies are needed. In this work, we propose stage-specific candidate repurposed against AD by using network-based method drug repurposing different stages severity. For each stage, approach a) ranks based on score emerging from weighted sum connections in network resembling...
PathwayConnector is a web-tool that facilitates the construction of complementary pathway-to-pathway networks and subnetworks them, based on reference pathway network derived from rich information available either in KEGG or Reactome database for mapping. Specifically, given set pathways, (i) finds all direct connections between (ii) adds minimum pathways required to achieve connectivity leading informative fully connected provides series clustering methods further grouping sub-clusters. The...
Skeletal muscle growth and maintenance depend on two tightly regulated processes, myogenesis regeneration. Both processes involve a series of crucial regulatory molecules including muscle-specific microRNAs, known as myomiRs. We recently showed that four myomiRs, miR-1, miR-133a, miR-133b, miR-206, are encapsulated within muscle-derived exosomes participate in local skeletal communication. Although these myomiRs have been extensively studied for their function muscles, no information exists...
Abstract Variants of unknown/uncertain significance (VUS) pose a huge dilemma in current genetic variation screening methods and counselling. Driven by next generation sequencing (NGS) such as whole exome (WES), plethora VUS are being detected research laboratories well the health sector. Motivated this overabundance VUS, we propose novel computational methodology, termed VariantClassifier (VarClass), which utilizes gene-association networks polygenic risk prediction models to shed light...
Memories are believed to be represented in the synaptic pathways of vastly interconnected networks neurons. The plasticity synapses, that is, their strengthening and weakening depending on neuronal activity, is basis learning establishing memories. An increasing number studies indicate endocannabinoids have a widespread action brain function through modulation synap–tic transmission plasticity. Recent experimental characterised role mediating both short- long-term various regions including...
The advancement of scientific and medical research over the past years has generated a wealth experimental data from multiple technologies, including genomics, transcriptomics, proteomics, other forms -omics data, which are available for number diseases. integration such multisource is key component toward success precision medicine. In this paper, we investigating method developed by our group, regarding its ability to drive clusters connected pathways under two different approaches: first,...
The virtual physiological human (VPH) initiative encompasses a wide range of activities, including structural and functional imaging, data mining, knowledge discovery tool database development, biomedical modelling, simulation visualization. VPH community is developing from multitude relatively focused, but disparate, research endeavours into an integrated effort to bring together, develop translate emerging technologies for application, academia industry medicine. This process initially...
In the area of drug research, several computational repurposing studies have highlighted candidate repurposed drugs, as well clinical trial that tested/are testing drugs in different phases. To best our knowledge, aggregation proposed lists by previous has not been extensively exploited towards generating a dynamic reference matrix with enhanced resolution. fill this knowledge gap, we performed weight-modulated majority voting modes action, initial indications and targeted pathways...
Gating of sensory information can be assessed using an auditory conditioning-test paradigm which measures the reduction in evoked response to a test stimulus following initial conditioning stimulus. Recording brainwaves from specific areas brain multiple electrodes is helpful study neurobiology gating. In this paper, we use such technology investigate role cannabinoids gating CA3 region rat hippocampus. Our experimental results show that application exogenous cannabinoid agonist WIN55,212-2...
Starch binding domain-containing protein 1 (STBD1) is an endoplasmic reticulum (ER)-resident, glycogen-binding protein. In addition to glycogen, STBD1 has been shown interact with several proteins implicated in glycogen synthesis and degradation, yet its function metabolism remains largely unknown. the bulk of ER, reported localize at regions physical contact between mitochondria known as Mitochondria-ER Contact sites (MERCs). Given emerging correlation distortions integrity hepatic MERCs...
Abstract Motivation Understanding the underlying biological mechanisms and respective interactions of a disease remains an elusive, time consuming costly task. Computational methodologies that propose pathway/mechanism communities reveal relationships can be great value as they help expedite process identifying how perturbations in single pathway affect other pathways. Results We present random-walks-based methodology called PathWalks, where walker crosses pathway-to-pathway network under...
Gamma oscillations are thought to play a key role in neuronal network function and communication, yet the underlying generating mechanisms have not been fully elucidated date. At least partly, this may be due fact that even simple models of interconnected inhibitory (I) excitatory (E) neurons, many parameters remain unknown set based on practical considerations or by convention. Here, we mitigate problem requiring PING (Pyramidal Interneuron Network Gamma) simultaneously satisfy broad...
Alzheimer's disease (AD) is a progressive neurodegenerative and the most common type of dementia. Although considerably large amount money has been invested in drug development for AD, no modifying treatment detected so far. In our previous work, we developed computational method to highlight stage-specific candidate repurposed drugs against AD. this study, tested effect top 13 that proposed work severity manner using an vitro BACE1 assay top-ranked from list tetrabenazine (TBZ), 5XFAD as AD...