In Silico Strategies for Prospective Drug Repositionings

• Weitere Verfasser: Udrescu, Lucreția (Herausgegeben von), Kurunczi, Ludovic (Herausgegeben von), Bogdan, Paul (Herausgegeben von), Udrescu, Mihai (Herausgegeben von)
• Format: Elektronisch Buchkapitel
• Sprache: Englisch
• Veröffentlicht: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Schlagworte: Medicine; Pharmaceutical industries; 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
• Online-Zugang: DOAB: download the publication; DOAB: description of the publication