Identification and Characterization of Genetic Components in Autism Spectrum Disorders 2020
| Identification and Characterization of Genetic Components in Autism Spectrum Disorders 2020 |
| Autore | Butler Merlin G |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (204 p.) |
| Soggetto topico |
Biology, life sciences
Genetics (non-medical) Research & information: general |
| Soggetto non controllato |
15q11.2 BP1-BP2 deletion
22q13.3 duplication ASD assessment ASSR auditory event-related potential auditory steady-state response autism autism spectrum disorder autism spectrum disorders autism spectrum disorders (ASDs) bioinformatics biomarker Broader Autism Phenotype Burnside-Butler syndrome CACNA1C causes CaV1.2 clinical decision support systems (CDSSs) clinical findings CNV cognition dental enamel defect disease biomarkers DNA methylation environmental factors epigenetic factors ERP exome sequencing gene fusion genetic genetic factors genetics genomic characterization heterogeneity human genetics intellectual disabilities interactomics medications metabolomics multiplex family neuropsychiatric behavior development pervasive developmental disorder pharmacogenomics phenotypic subgroups stratified by ASD severity post-synaptic density protein-protein interaction proteomics SHANK3 short QT syndrome simplex families SNP subgroup-associated genes and biological functions syndromes treatment |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566463603321 |
Butler Merlin G
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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In Silico Strategies for Prospective Drug Repositionings
| In Silico Strategies for Prospective Drug Repositionings |
| Autore | Udrescu Lucreția |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (288 p.) |
| Soggetto topico |
Medicine
Pharmaceutical industries |
| Soggetto non controllato |
COVID-19
drug repurposing topological data analysis persistent Betti function SARS-CoV-2 network-based pharmacology combination therapy nucleoside GS-441524 fluoxetine synergy antidepressant natural compounds QSAR molecular docking drug repositioning UK Biobank vaccine LC-2/ad cell line drug discovery docking MM-GBSA calculation molecular dynamics cytotoxicity assay GWAS multiple sclerosis oxidative stress repurposing ADME-Tox bioinformatics complex network analysis modularity clustering ATC code hidradenitis suppurativa acne inversa transcriptome proteome comorbid disorder biomarker signaling pathway druggable gene drug-repositioning MEK inhibitor MM/GBSA Glide docking MD simulation MM/PBSA single-cell RNA sequencing pulmonary fibrosis biological networks p38α MAPK allosteric inhibitors in silico screening computer-aided drug discovery network analysis psychiatric disorders medications psychiatry mental disorders toxoplasmosis Toxoplasma gondii in vitro screening drug targets drug-disease interaction target-disease interaction DPP4 inhibitors lipid rafts |
| ISBN | 3-0365-6133-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639987703321 |
Udrescu Lucreția
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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