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

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.

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Xehetasun bibliografikoak
Formatua:	Online
Hizkuntza:	ingelesa
Argitaratua:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Gaiak:	3D-QSAR pharmacophore modeling ligand-based model HDACs isoform-selective histone deacetylase inhibitors aminophenylbenzamide hERG toxicity drug discovery fingerprints machine learning deep learning gene expression signature drug repositioning approaches RNA expression regulation high-throughput virtual screening dual-target lead discovery neurodegenerative disorders Alzheimer’s disease dual mode of action multi-modal nicotinic acetylcholine receptor acetylcholinesterase molecular docking methotrexate drug resistance human dihydrofolate reductase virtual screening molecular dynamics simulation. epitope binning epitope mapping epitope prediction antibody:antigen interactions protein docking glycoprotein D (gD) herpes simplex virus fusion proteins Src inhibitors pharmacophore model molecular dynamics simulations in silico COX-2 inhibitors molecular modeling sodium–glucose co-transporters 2 FimH uropathogenic bacteria urinary tract infections diabetes drug-resistance mutations HIV-2 protease structural characterization induced structural deformations SARS-CoV-2 COVID-19 multiprotein inhibiting natural compounds MD simulation 3CL-Pro antivirals docking simulations drug repurposing consensus models binding space isomeric space MRP4 SNPs variants protein threading modeling molecular dynamics binding site hTSPO PK11195 cholesterol homology modeling molecular dynamics (MD) simulation carbon nanotubes Stone–Wales defects haeckelite defects doxorubicin encapsulation drug delivery system binding free energies noncovalent interactions main protease mutants inhibitors PF-00835231 Mycobacterium tuberculosis tuberculosis proteasome natural compounds multiscale multitargeting polypharmacology computational biology drug repositioning structural bioinformatics proteomic signature skin aging oxidative stress aging progression mechanism genome-wide genetic and epigenetic network (GWGEN) systems medicine design multiple-molecule drug immunoproteasome non-covalent inhibitors MD binding metadynamics induced-fit docking n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PN Chemistry
Sarrera elektronikoa:	ONIX_20220111_9783036527796_1002
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Deskribapena
Gaia:	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.

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

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