Molecular Modeling in Drug Design
| dc.contributor.author | Wade, Rebecca | * |
| dc.contributor.author | Salo-Ahen, Outi | * |
| dc.date.accessioned | 2021-02-11T20:05:06Z | |
| dc.date.available | 2021-02-11T20:05:06Z | |
| dc.date.issued | 2019 | * |
| dc.date.submitted | 2019-04-05 10:34:31 | * |
| dc.identifier | 32831 | * |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/53851 | |
| dc.description.abstract | This book is a printed edition of the Special Issue Molecular Modeling in Drug Design that was published in Molecules | * |
| dc.language | English | * |
| dc.subject | QD1-999 | * |
| dc.subject | Q1-390 | * |
| dc.subject.classification | thema EDItEUR::P Mathematics and Science::PN Chemistry | en_US |
| dc.subject.other | metadynamics | * |
| dc.subject.other | natural compounds | * |
| dc.subject.other | virtual screening | * |
| dc.subject.other | probe energies | * |
| dc.subject.other | molecular dynamics simulation | * |
| dc.subject.other | human ecto-5?-nucleotidase | * |
| dc.subject.other | neural networks | * |
| dc.subject.other | quantitative structure-activity relationship (QSAR) | * |
| dc.subject.other | artificial intelligence | * |
| dc.subject.other | allosterism | * |
| dc.subject.other | in silico screening | * |
| dc.subject.other | drug discovery | * |
| dc.subject.other | amyloid fibrils | * |
| dc.subject.other | mechanical stability | * |
| dc.subject.other | adenosine receptors | * |
| dc.subject.other | adenosine receptor | * |
| dc.subject.other | ligand binding | * |
| dc.subject.other | promiscuous mechanism | * |
| dc.subject.other | AutoGrid | * |
| dc.subject.other | dynamic light scattering | * |
| dc.subject.other | resultant dipole moment | * |
| dc.subject.other | density-based clustering | * |
| dc.subject.other | Alzheimer’s disease | * |
| dc.subject.other | drug design | * |
| dc.subject.other | biophenols | * |
| dc.subject.other | enzymatic assays | * |
| dc.subject.other | all-atom molecular dynamics simulation | * |
| dc.subject.other | fragment screening | * |
| dc.subject.other | adenosine | * |
| dc.subject.other | docking | * |
| dc.subject.other | molecular docking | * |
| dc.subject.other | cosolvent molecular dynamics | * |
| dc.subject.other | turbidimetry | * |
| dc.subject.other | squalene synthase (SQS) | * |
| dc.subject.other | molecular recognition | * |
| dc.subject.other | protein-peptide interactions | * |
| dc.subject.other | extracellular loops | * |
| dc.subject.other | FimH | * |
| dc.subject.other | binding affinity | * |
| dc.subject.other | rational drug design | * |
| dc.subject.other | de novo design | * |
| dc.subject.other | hyperlipidemia | * |
| dc.subject.other | AR ligands | * |
| dc.subject.other | aggregation | * |
| dc.subject.other | property prediction | * |
| dc.subject.other | PPI inhibition | * |
| dc.subject.other | deep learning | * |
| dc.subject.other | proteins | * |
| dc.subject.other | quantitative structure-property prediction (QSPR) | * |
| dc.subject.other | protein protein interactions | * |
| dc.subject.other | boron cluster | * |
| dc.subject.other | target-focused pharmacophore modeling | * |
| dc.subject.other | ligand–protofiber interactions | * |
| dc.subject.other | structure-based drug design | * |
| dc.subject.other | scoring function | * |
| dc.subject.other | grid maps | * |
| dc.subject.other | solvent effect | * |
| dc.subject.other | adhesion | * |
| dc.subject.other | molecular dynamics | * |
| dc.subject.other | Traditional Chinese Medicine | * |
| dc.subject.other | steered molecular dynamics | * |
| dc.subject.other | interaction energy | * |
| dc.subject.other | EphA2-ephrin A1 | * |
| dc.subject.other | molecular modeling | * |
| dc.subject.other | method development | * |
| dc.title | Molecular Modeling in Drug Design | * |
| dc.type | book | |
| oapen.identifier.doi | 10.3390/books978-3-03897-615-8 | * |
| oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | * |
| oapen.relation.isbn | 9783038976141 | * |
| oapen.pages | 220 | * |
| oapen.edition | 1st | * |
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