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Biological Networks

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ISBN: 9783038974338 / 9783038974345 Year: Pages: 174 DOI: 10.3390/books978-3-03897-434-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Internal medicine --- Biology
Added to DOAB on : 2019-01-10 11:14:23
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Networks of coordinated interactions among biological entities govern a myriad of biological functions that span a wide range of both length and time scales—from ecosystems to individual cells and from years to milliseconds. For these networks, the concept “the whole is greater than the sum of its parts” applies as a norm rather than an exception. Meanwhile, continued advances in molecular biology and high-throughput technology have enabled a broad and systematic interrogation of whole-cell networks, allowing the investigation of biological processes and functions at unprecedented breadth and resolution—even down to the single-cell level. The explosion of biological data, especially molecular-level intracellular data, necessitates new paradigms for unraveling the complexity of biological networks and for understanding how biological functions emerge from such networks. These paradigms introduce new challenges related to the analysis of networks in which quantitative approaches such as machine learning and mathematical modeling play an indispensable role. The Special Issue on “Biological Networks” showcases advances in the development and application of in silico network modeling and analysis of biological systems.

New Approaches for the Discovery of Pharmacologically-Active Natural Compounds

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ISBN: 9783039211043 / 9783039211050 Year: Pages: 158 DOI: 10.3390/books978-3-03921-105-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Therapeutics
Added to DOAB on : 2019-08-28 11:21:27
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A major source of active compounds, natural products from different sources supply a large variety of molecules that have been approved for clinical use or used as the starting points of optimization programs. This book features nine papers (eight full articles and one review paper) written by more than 45 scientists from around the world. These papers illustrate the development and application of a broad range of computational and experimental techniques applied to natural product research. On behalf of the contributors to the book, our hope is that the research presented here contributes to advancements in the field, and encourages multidisciplinary teams, young scientists, and students to further advance in the discovery of pharmacologically-active natural compounds

Cognitive Development and Individual Variability

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ISBN: 9783039210527 / 9783039210534 Year: Pages: 158 DOI: 10.3390/books978-3-03921-053-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Philosophy
Added to DOAB on : 2019-08-28 11:21:27
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The standard approach to cognitive development most frequently consists of cross-sectional studies comparing different ages and groups while restricted to a single task. The necessity to focus on the individual in an idiographic perspective, rather than on the task or the variable, has been repeatedly emphasized, most recently in several very important papers by Nesselroade and Molenaar. Variability has also emerged as a crucial characteristic. Moreover, understanding the developmental construction of a given cognitive achievement is imperative to understanding cognitive functioning in adulthood. The general objective of this book is to focus on the individual by studying intraindividual and interindividual variability in various cognitive tasks, that is, intraindividual variability across items of a given task (inconsistency), across various cognitive tasks (dispersion), and/or across years (intraindividual change), and of course, on interindividual differences in intraindividual variability. This book presents empirical studies that have been conducted by research groups in Europe and in North America, prominent in the field of variability and development or methodology. The 26 authors/co-authors include senior authors such as Lautrey, Schmiedek, Dauvier, van der Maas, Ghisletta, Stawski, MacDonald, and de Ribaupierre.

Molecular Modeling in Drug Design

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ISBN: 9783038976141 Year: Pages: 220 DOI: 10.3390/books978-3-03897-615-8 Language: eng
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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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

Tea in Health and Disease

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ISBN: 9783038979869 / 9783038979876 Year: Pages: 222 DOI: 10.3390/books978-3-03897-987-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Nutrition and Food Sciences
Added to DOAB on : 2019-06-26 08:44:06
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Tea, made from the leaves of the Camellia senenisis plant, is the second most consumed beverage worldwide after water. Accumulating evidence from cellular, animal, epidemiological and clinical studies have linked tea consumption to various health benefits, such as chemoprevention of cancers, chronic inflammation, heart and liver diseases, diabetes, neurodegenerative diseases, etc. Although such health benefits have not been consistently observed in some intervention trials, positive results from clinical trials have provided direct evidence supporting the cancer-protective effect of green tea. In addition, numerous mechanisms of action have been suggested to contribute to tea’s disease-preventive effects. Furthermore, effects of the processing and storage of tea, as well as additives on tea’s properties have been investigated.

mTOR in Human Diseases

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ISBN: 9783039210602 / 9783039210619 Year: Pages: 480 DOI: 10.3390/books978-3-03921-061-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2019-06-26 08:44:06
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The mechanistic target of rapamycin (mTOR) is a major signaling intermediary that coordinates favorable environmental conditions with cell growth. Indeed, as part of two functionally distinct protein complexes, named mTORC1 and mTORC2, mTOR regulates a variety of cellular processes, including protein, lipid, and nucleotide synthesis, as well as autophagy. Over the last two decades, major molecular advances have been made in mTOR signaling and have revealed the complexity of the events implicated in mTOR function and regulation. In parallel, the role of mTOR in diverse pathological conditions has also been identified, including in cancer, hamartoma, neurological, and metabolic diseases. Through a series of articles, this book focuses on the role played by mTOR in cellular processes, metabolism in particular, and highlights a panel of human diseases for which mTOR inhibition provides or might provide benefits. It also addresses future studies needed to further characterize the role of mTOR in selected disorders, which will help design novel therapeutic approaches. It is therefore intended for everyone who has an interest in mTOR biology and its application in human pathologies.

Keywords

acute myeloid leukemia --- metabolism --- mTOR --- PI3K --- phosphorylation --- epithelial to mesenchymal transition --- mTOR inhibitor --- pulmonary fibrosis --- transcriptomics --- miRNome --- everolimus --- mTOR --- thyroid cancer --- sodium iodide symporter (NIS)/SLC5A5 --- dopamine receptor --- autophagy --- AKT --- mTOR --- AMPK --- mTOR --- Medulloblastoma --- MBSCs --- mTOR --- T-cell acute lymphoblastic leukemia --- targeted therapy --- combination therapy --- mTOR --- metabolic diseases --- glucose and lipid metabolism --- anesthesia --- neurotoxicity --- synapse --- mTOR --- neurodevelopment --- mTOR --- rapamycin --- autophagy --- protein aggregation --- methamphetamine --- schizophrenia --- tumour cachexia --- mTOR --- signalling --- metabolism --- proteolysis --- lipolysis --- mTOR --- mTORC1 --- mTORC2 --- rapamycin --- rapalogues --- rapalogs --- mTOR inhibitors --- senescence --- ageing --- aging --- cancer --- neurodegeneration --- immunosenescence --- senolytics --- biomarkers --- leukemia --- cell signaling --- metabolism --- apoptosis --- miRNA --- mTOR inhibitors --- mTOR --- tumor microenvironment --- angiogenesis --- immunotherapy --- fluid shear stress --- melatonin --- chloral hydrate --- nocodazole --- MC3T3-E1 cells --- primary cilia --- mTOR complex --- metabolic reprogramming --- cancer --- microenvironment --- nutrient sensor --- oral cavity squamous cell carcinoma (OSCC) --- NVP-BEZ235 --- mTOR --- p70S6K --- mTOR --- advanced biliary tract cancers --- mTOR --- NGS --- illumina --- IonTorrent --- eIFs --- mTOR --- autophagy --- Parkinson’s disease --- mTOR --- PI3K --- cancer --- inhibitor --- therapy --- mTOR --- laminopathies --- lamin A/C --- Emery-Dreifuss muscular dystrophy (EDMD) --- Hutchinson-Gilford progeria syndrome (HGPS) --- autophagy --- cellular signaling --- metabolism --- bone remodeling --- ageing --- mTOR --- fructose --- glucose --- liver --- lipid metabolism --- gluconeogenesis --- Alzheimer’s disease --- autophagy --- mTOR signal pathway --- physical activity --- microRNA --- mTOR --- spermatogenesis --- male fertility --- Sertoli cells --- n/a

Qualitative and Quantitative Analysis of Bioactive Natural Products 2018

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ISBN: 9783038977889 Year: Pages: 374 DOI: 10.3390/books978-3-03897-789-6 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Biology --- Science (General)
Added to DOAB on : 2019-04-05 10:34:31
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Throughout most of history, medicinal plants and their active metabolites have represented a valuable source of compounds used to prevent and to cure several diseases. Interest in natural compounds is still high as they represent a source of novel biologically/pharmacologically active compounds. Due to their high structural diversity and complexity, they are interesting structural scaffolds that can offer promising candidates for the study of new drugs, functional foods, and food additives.Plant extracts are a highly complex mixture of compounds and qualitative and quantitative analyses are necessary to ensure their quality. Furthermore, greener methods of extraction and analysis are needed today.This book is based on articles submitted for publication in the Special Issue entitled “Qualitative and Quantitative Analysis of Bioactive Natural Products” that collected original research and reviews on these topics.

Keywords

Talaromyces pinophilus --- talarodiolide --- macrodiolides --- GC/MS --- secondary metabolites --- anthocyanins --- red cabbage --- recycling preparative high performance liquid chromatography --- stability --- UHPLC-MS/MS --- decursin --- decursinol angelate --- nodakenin --- decursinol --- Ginkgo biloba Extract (GBE) --- chromatogram-bioactivity correlation --- bioactive compounds --- endothelial function --- wine --- volatile compounds --- terrain conditions --- odor-activity values --- SPME-GC/MS --- Bolbostemma paniculatum --- identification --- LTQ-Orbitrap --- UPLC --- multivariate statistical analysis --- cannabidiol --- CBD oil --- terpenes --- hemp seed oil --- GC-MS --- HPLC-Q-Exactive-Orbitrap-MS --- Rossa da inverno sel. Rojo Duro onion cultivar --- geographical origin --- amino acids content --- HPLC analysis --- statistical evaluations --- food traceability --- aleuritolic acid --- autophagy --- apoptosis --- HPLC --- Curcuma longa --- turmeric --- curcuminoids --- turmerone --- quantification --- Quercus acuta leaf --- antioxidant --- antibacterial activity --- Staphylococcus aureus --- Erigeron breviscapus extract --- UPLC-ESI-MS/MS --- cerebral ischemia reperfusion injury --- scutellarin --- scutellarein --- HPLC --- Podospermum --- Scorzonera --- triterpenes --- ginseng berry extract --- ginsenosides --- stereoselective and simultaneous analysis --- pharmacokinetics --- oral administration --- saffron --- crocins --- UHPLC analysis --- separation optimisation --- artificial neural network --- response surface methodology --- bioactive natural compounds --- secondary metabolites --- Alzheimer’s disease --- Olea europaea L. --- liquid chromatography --- gas chromatography --- mass spectrometry --- secondary metabolites --- olive leaves --- Moroccan region --- phenolic compounds --- liquid chromatography-mass spectrometry --- chemometrics --- metabolic profiling --- Sorbus --- fruit powders --- phenolic compounds --- carotenoids --- sugars --- organic acids --- chili --- capsaicinoids --- phenolics --- free radical-scavenging --- geographical variation --- 1-triacontanol --- HPLC-ELSD --- biostimulant --- method validation --- Myristica fragrans --- nutmeg --- essential oil --- ionic liquids --- hydrodistillation --- MODDE experimental design --- rice --- phenolic compounds --- phenolic acids --- flavonoids --- anthocyanins --- proanthocyanidins --- antioxidant activity --- extraction --- HPLC methods --- phenolic compounds --- Spondias spp. --- UPLC-MS --- antioxidant capacity --- Iris lactea Pall. var. chinensis (Fisch.) Koidz. --- HPLC-Q-TOF-MS/MS --- qualitative analysis --- quantitative analysis --- C-glycosylflavone --- traditional Chinese medicine decoction --- quality evaluation --- UPLC-QTOF-MS --- UFLC-QQQ-MS --- ShenFu prescription decoction

Molecular Computing and Bioinformatics

Authors: --- ---
ISBN: 9783039211951 / 9783039211968 Year: Pages: 390 DOI: 10.3390/books978-3-03921-196-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-08-28 11:21:27
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This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.

Keywords

prostate cancer --- Mycoplasma hominis --- endoplasmic reticulum --- systems biology --- protein targeting --- biomedical text mining --- big data --- Tianhe-2 --- parallel computing --- load balancing --- bacterial computing --- bacteria and plasmid system --- Turing universality --- recursively enumerable function --- miRNA biogenesis --- structural patterns --- DCL1 --- protein–protein interaction (PPI) --- clustering --- protein complex --- penalized matrix decomposition --- avian influenza virus --- interspecies transmission --- amino acid mutation --- machine learning --- Bayesian causal model --- causal direction learning --- K2 --- brain storm optimization --- line graph --- Cartesian product graph --- join graph --- atom-bond connectivity index --- geometric arithmetic index --- P-glycoprotein --- efflux ratio --- in silico --- machine learning --- hierarchical support vector regression --- absorption --- distribution --- metabolism --- excretion --- toxicity --- image encryption --- chaotic map --- DNA coding --- Hamming distance --- Stenotrophomonas maltophilia --- iron acquisition systems --- iron-depleted --- RAST server --- NanoString Technologies --- siderophores --- gene fusion data --- gene susceptibility prioritization --- evaluating driver partner --- gene networks --- drug-target interaction prediction --- machine learning --- drug discovery --- microRNA --- environmental factor --- structure information --- similarity network --- bioinformatics --- identification of Chinese herbal medicines --- biochip technology --- DNA barcoding technology --- DNA strand displacement --- cascade --- 8-bit adder/subtractor --- domain label --- Alzheimer’s disease --- gene coding protein --- sequence information --- support vector machine --- classification --- adverse drug reaction prediction --- heterogeneous information network embedding --- stacking denoising auto-encoder --- meta-path-based proximity --- Panax ginseng --- oligopeptide transporter --- flowering plant --- phylogeny --- transcription factor --- multiple interaction networks --- function prediction --- multinetwork integration --- low-dimensional representation --- dihydrouridine --- nucleotide physicochemical property --- pseudo dinucleotide composition --- RNA secondary structure --- ensemble classifier --- diabetes mellitus --- hypoxia-inducible factor-1? --- angiogenesis --- bone formation --- osteogenesis --- protein transduction domain --- membrane computing --- edge detection --- enzymatic numerical P system --- resolution free --- molecular computing --- molecular learning --- DNA computing --- self-organizing systems --- pattern classification --- machine learning --- laccase --- Brassica napus --- lignification --- stress --- molecular computing --- bioinformatics --- machine learning --- protein --- DNA --- RNA --- drug --- bio-inspired

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MDPI - Multidisciplinary Digital Publishing Institute (8)


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CC by-nc-nd (8)


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eng (7)

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2019 (8)