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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 electronic resource (204 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Genetics (non-medical) |
| Soggetto non controllato |
autism
ASD genetics heterogeneity syndromes assessment medications treatment causes autism spectrum disorders (ASDs) proteomics metabolomics interactomics disease biomarkers clinical decision support systems (CDSSs) phenotypic subgroups stratified by ASD severity simplex families DNA methylation subgroup-associated genes and biological functions Broader Autism Phenotype genetic autism spectrum disorder multiplex family genetic factors epigenetic factors environmental factors pervasive developmental disorder post-synaptic density CNV SNP gene fusion CACNA1C CaV1.2 short QT syndrome dental enamel defect bioinformatics human genetics pharmacogenomics 15q11.2 BP1-BP2 deletion Burnside-Butler syndrome clinical findings cognition neuropsychiatric behavior development genomic characterization exome sequencing protein–protein interaction 22q13.3 duplication auditory steady-state response ASSR SHANK3 biomarker auditory event-related potential ERP autism spectrum disorders intellectual disabilities |
| 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 | ||
| Materiale a stampa | ||
| 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 |
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Udrescu Lucreția
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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