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Molecular Modeling in Drug Design

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ISBN: 9783038976141 Year: Pages: 220 DOI: 10.3390/books978-3-03897-615-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Chemistry (General) --- Science (General)
Added to DOAB on : 2019-04-05 10:34:31
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Abstract

This book is a printed edition of the Special Issue Molecular Modeling in Drug Design that was published in Molecules

Keywords

hyperlipidemia --- squalene synthase (SQS) --- molecular modeling --- drug discovery --- Traditional Chinese Medicine --- molecular dynamics simulation --- biophenols --- natural compounds --- amyloid fibrils --- Alzheimer’s disease --- ligand–protofiber interactions --- adhesion --- FimH --- rational drug design --- molecular dynamics --- molecular docking --- ligand binding --- EphA2-ephrin A1 --- PPI inhibition --- interaction energy --- in silico screening --- adenosine --- boron cluster --- adenosine receptors --- AR ligands --- aggregation --- promiscuous mechanism --- human ecto-5?-nucleotidase --- virtual screening --- enzymatic assays --- turbidimetry --- dynamic light scattering --- docking --- solvent effect --- binding affinity --- scoring function --- molecular dynamics --- target-focused pharmacophore modeling --- density-based clustering --- structure-based drug design --- AutoGrid --- grid maps --- probe energies --- method development --- steered molecular dynamics --- all-atom molecular dynamics simulation --- resultant dipole moment --- mechanical stability --- protein-peptide interactions --- molecular dynamics --- proteins --- molecular recognition --- protein protein interactions --- artificial intelligence --- deep learning --- neural networks --- property prediction --- quantitative structure-activity relationship (QSAR) --- quantitative structure-property prediction (QSPR) --- de novo design --- adenosine receptor --- metadynamics --- extracellular loops --- allosterism --- molecular dynamics --- cosolvent molecular dynamics --- drug design --- fragment screening --- docking

Remote Sensing of Leaf Area Index (LAI) and Other Vegetation Parameters

Authors: --- ---
ISBN: 9783039212392 9783039212408 Year: Pages: 334 DOI: 10.3390/books978-3-03921-240-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-12-09 11:49:15
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Abstract

Monitoring of vegetation structure and functioning is critical to modeling terrestrial ecosystems and energy cycles. In particular, leaf area index (LAI) is an important structural property of vegetation used in many land surface vegetation, climate, and crop production models. Canopy structure (LAI, fCover, plant height, and biomass) and biochemical parameters (leaf pigmentation and water content) directly influence the radiative transfer process of sunlight in vegetation, determining the amount of radiation measured by passive sensors in the visible and infrared portions of the electromagnetic spectrum. Optical remote sensing (RS) methods build relationships exploiting in situ measurements and/or as outputs of physical canopy radiative transfer models. The increased availability of passive (radar and LiDAR) RS data has fostered their use in many applications for the analysis of land surface properties and processes, thanks also to their insensitivity to weather conditions and the capability to exploit rich structural and textural information. Data fusion and multi-sensor integration techniques are pressing topics to fully exploit the information conveyed by both optical and microwave bands.

Keywords

conifer forest --- leaf area index --- smartphone-based method --- canopy gap fraction --- terrestrial laser scanning --- forest inventory --- density-based clustering --- forest aboveground biomass --- root biomass --- tree heights --- GLAS --- artificial neural network --- allometric scaling and resource limitation --- structure from motion (SfM) --- 3D point cloud --- remote sensing --- local maxima --- fixed tree window size --- managed temperate coniferous forests --- point cloud --- spectral information --- structure from motion (SfM) --- unmanned aerial vehicle (UAV) --- chlorophyll fluorescence (ChlF) --- drought --- Mediterranean --- photochemical reflectance index (PRI) --- photosynthesis --- R690/R630 --- recovery --- BAAPA --- remote sensing --- household survey --- forest --- farm types --- automated classification --- sampling design --- adaptive threshold --- over and understory cover --- LAI --- leaf area index --- EPIC --- simulation --- satellite --- MODIS --- biomass --- evaluation --- southern U.S. forests --- VIIRS --- leaf area index (LAI) --- Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) --- MODIS --- consistency --- uncertainty --- evaluation --- downscaling --- Pléiades imagery --- unmanned aerial vehicle --- stem volume estimation --- remote sensing --- clumping index --- leaf area index --- trunk --- terrestrial LiDAR --- HemiView --- forest above ground biomass (AGB) --- polarization coherence tomography (PCT) --- P-band PolInSAR --- tomographic profiles --- canopy closure --- global positioning system --- hemispherical sky-oriented photo --- signal attenuation --- geographic information system --- digital aerial photograph --- aboveground biomass --- leaf area index --- photogrammetric point cloud --- recursive feature elimination --- machine-learning --- forest degradation --- multisource remote sensing --- modelling aboveground biomass --- random forest --- Brazilian Amazon --- validation --- phenology --- NDVI --- LAI --- spectral analyses --- European beech --- altitude --- forests biomass --- remote sensing --- REDD+ --- random forest --- Tanzania --- RapidEye

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MDPI - Multidisciplinary Digital Publishing Institute (2)


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CC by-nc-nd (2)


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english (2)


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2019 (2)