Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 online resource (220 p.) |
| Soggetto topico | Chemistry |
| Soggetto non controllato |
adenosine
adenosine receptor adenosine receptors adhesion aggregation all-atom molecular dynamics simulation allosterism Alzheimer's disease amyloid fibrils AR ligands artificial intelligence AutoGrid binding affinity biophenols boron cluster cosolvent molecular dynamics de novo design deep learning density-based clustering docking drug design drug discovery dynamic light scattering enzymatic assays EphA2-ephrin A1 extracellular loops FimH fragment screening grid maps human ecto-5?-nucleotidase hyperlipidemia in silico screening interaction energy ligand binding ligand-protofiber interactions mechanical stability metadynamics method development molecular docking molecular dynamics molecular dynamics simulation molecular modeling molecular recognition natural compounds neural networks PPI inhibition probe energies promiscuous mechanism property prediction protein protein interactions protein-peptide interactions proteins quantitative structure-activity relationship (QSAR) quantitative structure-property prediction (QSPR) rational drug design resultant dipole moment scoring function solvent effect squalene synthase (SQS) steered molecular dynamics structure-based drug design target-focused pharmacophore modeling Traditional Chinese Medicine turbidimetry virtual screening |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346839403321 |
Wade Rebecca
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro
| Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters / Hongliang Fang, Juanma Lopez Sanchez, Francisco Javier García-Haro |
| Autore | Fang Hongliang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (334 p.) |
| Soggetto non controllato |
artificial neural network
downscaling simulation 3D point cloud European beech consistency adaptive threshold evaluation photosynthesis geographic information system P-band PolInSAR validation density-based clustering structure from motion (SfM) EPIC Tanzania signal attenuation trunk canopy closure REDD+ unmanned aerial vehicle (UAV) forest recursive feature elimination Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) aboveground biomass random forest uncertainty household survey spectral information forests biomass root biomass biomass unmanned aerial vehicle Brazilian Amazon VIIRS global positioning system LAI photochemical reflectance index (PRI) allometric scaling and resource limitation R690/R630 modelling aboveground biomass leaf area index forest degradation spectral analyses terrestrial laser scanning BAAPA leaf area index (LAI) stem volume estimation tomographic profiles polarization coherence tomography (PCT) canopy gap fraction automated classification HemiView remote sensing multisource remote sensing Pléiades imagery photogrammetric point cloud farm types terrestrial LiDAR altitude RapidEye forest aboveground biomass recovery southern U.S. forests NDVI machine-learning conifer forest satellite chlorophyll fluorescence (ChlF) tree heights phenology point cloud local maxima clumping index MODIS digital aerial photograph Mediterranean hemispherical sky-oriented photo managed temperate coniferous forests fixed tree window size drought GLAS smartphone-based method forest above ground biomass (AGB) forest inventory over and understory cover sampling design |
| ISBN |
9783039212408
3039212400 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367563203321 |
|
Fang Hongliang
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||