Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics

• Autore: Tutone Marco
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (387 p.)
• Soggetto topico: Chemistry; Research & information: general
• Soggetto non controllato: 3CL-Pro; 3D-QSAR; acetylcholinesterase; aging progression mechanism; Alzheimer's disease; aminophenylbenzamide; antibody:antigen interactions; antivirals; binding free energies; binding site; binding space; carbon nanotubes; cholesterol; computational biology; consensus models; COVID-19; COX-2 inhibitors; deep learning; diabetes; docking simulations; doxorubicin encapsulation; drug delivery system; drug discovery; drug repositioning; drug repositioning approaches; drug repurposing; drug resistance; drug-resistance mutations; dual mode of action; dual-target lead discovery; epitope binning; epitope mapping; epitope prediction; FimH; fingerprints; gene expression signature; genome-wide genetic and epigenetic network (GWGEN); glycoprotein D (gD); haeckelite defects; HDACs; hERG toxicity; herpes simplex virus fusion proteins; high-throughput virtual screening; HIV-2 protease; homology modeling; hTSPO; human dihydrofolate reductase; immunoproteasome; in silico; induced structural deformations; induced-fit docking; inhibitors; isoform-selective histone deacetylase inhibitors; isomeric space; ligand-based model; machine learning; main protease; MD binding; MD simulation; metadynamics; methotrexate; molecular docking; molecular dynamics; molecular dynamics (MD) simulation; molecular dynamics simulation; molecular dynamics simulations; molecular modeling; MRP4; multi-modal; multiple-molecule drug; multiprotein inhibiting natural compounds; multiscale; multitargeting; mutants; Mycobacterium tuberculosis; n/a; natural compounds; neurodegenerative disorders; nicotinic acetylcholine receptor; non-covalent inhibitors; noncovalent interactions; oxidative stress; PF-00835231; pharmacophore model; pharmacophore modeling; PK11195; polypharmacology; proteasome; protein docking; protein threading modeling; proteomic signature; RNA expression regulation; SARS-CoV-2; skin aging; SNPs; sodium-glucose co-transporters 2; Src inhibitors; Stone-Wales defects; structural bioinformatics; structural characterization; systems medicine design; tuberculosis; urinary tract infections; uropathogenic bacteria; variants; virtual screening
• Persona (resp. second.): AlmericoAnna Maria; TutoneMarco
• Sommario/riassunto: This book is a collection of original research articles in the field of computer-aided drug design. It reports the use of current and validated computational approaches applied to drug discovery as well as the development of new computational tools to identify new and more potent drugs.
• Altri titoli varianti: Computational Approaches
• Titolo autorizzato: Computational Approaches: Drug Discovery and Design in Medicinal Chemistry and Bioinformatics
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557519403321
• Lo trovi qui: Univ. Federico II