A5080917286- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- COVID-19 diagnosis using AI
- Advanced Clustering Algorithms Research
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Metabolomics and Mass Spectrometry Studies
- Cancer Genomics and Diagnostics
- Genetics, Bioinformatics, and Biomedical Research
- Data Management and Algorithms
- Pluripotent Stem Cells Research
- Cystic Fibrosis Research Advances
- Complex Network Analysis Techniques
- Face and Expression Recognition
- COVID-19 Clinical Research Studies
- Hydrology and Drought Analysis
- Analytical Chemistry and Chromatography
- Data Stream Mining Techniques
- RNA modifications and cancer
- SARS-CoV-2 and COVID-19 Research
- Advanced biosensing and bioanalysis techniques
- Biomedical Text Mining and Ontologies
- Genomics and Chromatin Dynamics
- Inflammatory mediators and NSAID effects
- Cellular transport and secretion
University of Salerno
2007-2024
University of Sannio
2022-2024
King Abdullah University of Science and Technology
2019-2024
University of Naples Federico II
2014-2022
Ceinge Biotecnologie Avanzate (Italy)
2022
Telethon Institute Of Genetics And Medicine
2015-2021
Kootenay Association for Science & Technology
2021
University of Campania "Luigi Vanvitelli"
2019
University of California, Irvine
2010-2013
: Existing computational methods for drug repositioning either rely only on the gene expression response of cell lines after treatment, or drug-to-disease relationships, merging several information levels. However, noisy nature and scarcity genomic data many diseases are important limitations to such approaches. Here we focused a drug-centered approach by predicting therapeutic class FDA-approved compounds, not considering concerning diseases. We propose novel predict based state-of-the-art...
Abstract Hepatic fat accumulation is associated with diabetes and hepatocellular carcinoma (HCC). Here, we characterize the metabolic response that high-fat availability elicits in livers before disease development. After a short term on diet (HFD), otherwise healthy mice showed elevated hepatic glucose uptake increased contribution to serine pyruvate carboxylase activity compared control (CD) mice. This phenotype occurred independently from transcriptional or proteomic programming, which...
Abstract Synthetic dyes represent a serious hazard to aquatic environments. Many approaches for eliminating these contaminants have been devised and applied. This manuscript reports the production of novel, low-cost ecologically friendly bioadsorbent based on hemp fibers that are functionalized with graphite oxide through bridging an organosilane. Methylene blue was selected as typical pollutant be removed from wastewaters. The adsorbent characterized scanning electron microscopy (SEM),...
Abstract Goblet cell hyperplasia, a feature of asthma and other respiratory diseases, is driven by the Th-2 cytokines IL-4 IL-13. In human bronchial epithelial cells, we find that induces expression many genes coding for ion channels transporters, including TMEM16A, SLC26A4, SLC12A2, ATP12A. At functional level, enhances calcium- cAMP-activated chloride/bicarbonate secretion, resulting in high bicarbonate concentration alkaline pH fluid covering apical surface epithelia. Importantly, mucin...
Abstract Summary: Elucidation of molecular targets a compound [mode action (MoA)] and its off-targets is crucial step in drug development. We developed an online collaborative resource (MANTRA 2.0) that supports this process by exploiting similarities between drug-induced transcriptional profiles. Drugs are organized network nodes (drugs) edges (similarities) highlighting ‘communities’ drugs sharing similar MoA. A user can upload gene expression profiles before after treatment one or...
Drug repositioning has been proposed as an effective shortcut to drug discovery. The availability of large collections transcriptional responses drugs enables computational approaches directly based on measured molecular effects.We introduce a novel methodology for rational repositioning, which exploits the following treatment with small molecule. Specifically, given therapeutic target gene, prioritization potential is obtained by assessing their impact transcription genes in pathway(s)...
Abstract Motivation: Automated screening approaches are able to rapidly identify a set of small molecules inducing desired phenotype from large small-molecule libraries. However, the resulting candidate is usually very diverse pharmacologically, thus little insight on shared mechanism action (MoA) underlying their efficacy can be gained. Results: We introduce computational method (Drug-Set Enrichment Analysis—DSEA) based drug-induced gene expression profiles, which molecular pathways that...
Predicting metastasis in the early stages means that clinicians have more time to adjust a treatment regimen target primary and metastasized cancer. In this regard, several computational approaches are being developed identify early. However, most of focus on changes one genomic level only, they not from pan-cancer perspective. Thus, we here present deep learning (DL)–based model, MetaCancer, differentiates status based three heterogeneous data layers. particular, built DL-based model using...
Primary hyperoxaluria type I (PH1) is an autosomal-recessive inborn error of liver metabolism caused by alanine:glyoxylate aminotransferase (AGT) deficiency. In silico modeling in PH1 recapitulated accumulation known biomarkers as well alteration histidine and histamine levels, which we confirmed vitro, vivo, patients. AGT-deficient mice showed decreased vascular permeability, a readout vivo activity. Histamine reduction most likely increased catabolism the precursor histidine, triggered...
This article is not intended as a comprehensive survey of data mining applications in cancer. Rather, it provides starting points for further, more targeted, literature searches, by embarking on guided tour computational intelligence cancer medicine, structured increasing order the physical scales biological processes.
Head and neck paragangliomas, rare neoplasms of the paraganglia composed nests neurosecretory glial cells embedded in vascular stroma, provide a remarkable example organoid tumor architecture. To identify genes pathways commonly deregulated head paraganglioma, we integrated high-density genome-wide copy number variation (CNV) analysis with microRNA immunomorphological studies. Gene-centric CNV 24 cases identified list 104 most significantly targeted by tumor-associated alterations. The...
Abstract Background Metastasis is the most devastating stage of cancer progression and often shows a preference for specific organs. Methods To reveal mechanisms underlying organ-specific metastasis, we systematically analyzed gene expression profiles three common metastasis sites across all available primary origins. A rank-based method was used to detect differentially expressed genes between metastatic tumor tissues corresponding control tissues. For each site, origins were identified as...
Controlling cell fate has great potential for regenerative medicine, drug discovery, and basic research. Although transcription factors are able to promote reprogramming transdifferentiation, methods based on their upregulation often show low efficiency. Small molecules that can facilitate conversion between types ameliorate this problem working through safe, rapid, reversible mechanisms. Here, we present DECCODE, an unbiased computational method identification of such transcriptional data....
The objectives of this survey were to assess the knowledge, attitudes, and behaviors toward eating disorders among adolescents in Italy. was undertaken between May June 2017 a random sample 420 aged 14–20 years. Data collected through self-administered questionnaire. Only 22.8% correctly knew both definition anorexia bulimia nervosa. Female, overweight or obese individuals, who had at least one parent with college degree higher level education more likely have knowledge. More than third...
Cancer stem cells (CSCs) are a subpopulation of cancer within tumors that exhibit stem-like properties and represent potentially effective therapeutic target toward long-term remission by means differentiation induction. By leveraging an artificial intelligence approach solely based on transcriptomics data, this study scored large library small molecules their predicted ability to induce in cells. In particular, deep neural network model was trained using publicly available single-cell...
We performed an integrated analysis of drug chemical structures and drug-induced transcriptional responses. demonstrated that a network representing three-dimensional structural similarities among 5452 compounds can be used to automatically group together drugs with similar scaffolds, physicochemical parameters mode-of-action. compared the subset 1309 for which response were available in Connectivity Map data set. Analysis structurally similar, but transcriptionally different sharing same...