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Well-being is received increased attention from people, researchers, and physicians. The main goal is to prevent the onset of pathologic health issues instead of using conventional pharmacological approaches unless absolutely necessary. Prevention and well-being are closely linked to the wrong lifestyle and dietary habits, which can determine the onset of illness. Some health conditions can be prevented and treated with the use of nutraceuticals in daily diet. Nutraceuticals are pharmacologically active substances that can be extracted from vegetable or animal products, and concentrated and administered in a suitable pharmaceutical form. A nutraceutical can provide beneficial health effects, e.g., the prevention and/or, in some cases, the treatment of disease. The key aspect is defining the range of possible uses for these new food-drugs and substantiation with in vitro and in vivo clinical data that support their efficacy, safety, and health benefits. This Special Issue is dedicated to assessing the sources, composition, formulation, use, experience in clinical use, mechanisms of action, and clinical data of nutraceuticals, which represent a new horizon for therapy and provide valuable tools to reduce the cost of the healthcare system, addressing resources for prevention rather than pharmacological therapy.

microalgae --- Spirulina --- Chlorella --- Klamath --- food supplement --- quality control --- cinnamon --- white adipocyte differentiation --- fatty acid oxidation --- lipogenesis --- adipogenesis --- red yeast rice --- lovastatin --- nutraceutical --- safety --- health --- HPLC --- wine --- polyphenols --- antioxidants --- hydroxytyrosol --- trans-resveratrol --- n/a --- EVOO --- biophenols --- oleuropein --- multivariate statistical analysis --- OPLS-DA --- food profiling --- β-polysaccharides --- antioxidant activity --- Opuntia ficus-indica --- cladodes --- pumpkin seed oil --- fatty acids --- stereospecific analysis --- sterols --- alcohols

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Well-being is received increased attention from people, researchers, and physicians. The main goal is to prevent the onset of pathologic health issues instead of using conventional pharmacological approaches unless absolutely necessary. Prevention and well-being are closely linked to the wrong lifestyle and dietary habits, which can determine the onset of illness. Some health conditions can be prevented and treated with the use of nutraceuticals in daily diet. Nutraceuticals are pharmacologically active substances that can be extracted from vegetable or animal products, and concentrated and administered in a suitable pharmaceutical form. A nutraceutical can provide beneficial health effects, e.g., the prevention and/or, in some cases, the treatment of disease. The key aspect is defining the range of possible uses for these new food-drugs and substantiation with in vitro and in vivo clinical data that support their efficacy, safety, and health benefits. This Special Issue is dedicated to assessing the sources, composition, formulation, use, experience in clinical use, mechanisms of action, and clinical data of nutraceuticals, which represent a new horizon for therapy and provide valuable tools to reduce the cost of the healthcare system, addressing resources for prevention rather than pharmacological therapy.

Research & information: general --- Biology, life sciences --- Food & society --- microalgae --- Spirulina --- Chlorella --- Klamath --- food supplement --- quality control --- cinnamon --- white adipocyte differentiation --- fatty acid oxidation --- lipogenesis --- adipogenesis --- red yeast rice --- lovastatin --- nutraceutical --- safety --- health --- HPLC --- wine --- polyphenols --- antioxidants --- hydroxytyrosol --- trans-resveratrol --- n/a --- EVOO --- biophenols --- oleuropein --- multivariate statistical analysis --- OPLS-DA --- food profiling --- β-polysaccharides --- antioxidant activity --- Opuntia ficus-indica --- cladodes --- pumpkin seed oil --- fatty acids --- stereospecific analysis --- sterols --- alcohols

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The Mediterranean diet is well-known worldwide and recognized as a nutrition reference model by the World Health Organization. Virgin olive oil, prepared from healthy and intact fruits of the olive tree only by mechanical means, is a basic ingredient and a real pillar of this diet. Its positive role in health has now been a topic of universal concern. The virtues of natural olive oil, and especially of extra virgin olive oil, are related to the quality of the fruits, the employment of advanced technologies, and the availability of sophisticated analytical techniques that are used to control the origin of the fruits and guarantee the grade of the final product. To enrich recent multidisciplinary scientific information concerning this healthy lipid source, a new special issue of Foods has been published.

1H NMR spectroscopy --- EVOOs geographical origin --- extra virgin olive oil --- multivariate statistical analysis --- historical climate data --- olive oil --- biophenols --- Mediterranean diet --- pharma-nutrition --- cardiovascular disease --- authentication --- bioactive --- by-product --- glycolipid --- lipidomics --- mass spectrometry --- phospholipid --- traceability --- extra-virgin olive oil --- EVOO --- chlorophylls --- carotenoids --- pigments --- colour --- quality --- spectroscopy --- ultraviolet-visible light --- light absorption --- successful aging --- dietary fats --- authenticity --- cultivars --- triacylglycerols --- volatiles --- chemometrics --- extraction process --- innovative approaches --- ultrasound --- technological level of readiness --- varietal authentication --- Nuclear Magnetic Resonance spectroscopy --- polar lipids --- bio-phenols --- pharmaceutical molecular mechanisms of action --- primary public health prevention strategies --- healthy aging and longevity

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

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

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

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