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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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Molecular Modeling in Drug Design
| Molecular Modeling in Drug Design |
| Autore | Wade Rebecca |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto non controllato |
metadynamics
natural compounds virtual screening probe energies molecular dynamics simulation human ecto-5?-nucleotidase neural networks quantitative structure-activity relationship (QSAR) artificial intelligence allosterism in silico screening drug discovery amyloid fibrils mechanical stability adenosine receptors adenosine receptor ligand binding promiscuous mechanism AutoGrid dynamic light scattering resultant dipole moment density-based clustering Alzheimer’s disease drug design biophenols enzymatic assays all-atom molecular dynamics simulation fragment screening adenosine docking molecular docking cosolvent molecular dynamics turbidimetry squalene synthase (SQS) molecular recognition protein-peptide interactions extracellular loops FimH binding affinity rational drug design de novo design hyperlipidemia AR ligands aggregation property prediction PPI inhibition deep learning proteins quantitative structure-property prediction (QSPR) protein protein interactions boron cluster target-focused pharmacophore modeling ligand–protofiber interactions structure-based drug design scoring function grid maps solvent effect adhesion molecular dynamics Traditional Chinese Medicine steered molecular dynamics interaction energy EphA2-ephrin A1 molecular modeling method development |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346839403321 |
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Wade Rebecca
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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