LC-MS/MS acquisition for all in house generated libraries was performed using a Bruker Daltonics Maxis qTOF mass spectrometer equipped with a standard electrospray ionization source (ESI). The mass spectrometer was tuned by infusion of Tuning Mix ES-TOF (Agilent Technologies) at a 3 μL/min flow rate. For accurate mass measurements, lock mass internal calibration used a wick saturated with hexakis (1H,1H,3H-tetrafluoropropoxy) phosphazene ions (Synquest Laboratories, m/z 922.0098) located within the source. Samples were introduced by a Thermo Scientific UltraMate 3000 Dionex UPLC using a 20 μL injection volume. A Phenomenex Kinetex 2.6 μm C18 column (2.1 mm × 50 mm) was used. Compounds from NIH Prestwick Phytochemical Library, NIH Natural Product Library, and NIH Small Molecule Pharmacologically Active Library were separated using a seven minute linear water-acetonitrile gradient (from 98:2 to 2:98 water:acetonitrile) containing 0.1% formic acid. Compounds from NIH Clinical Collections and FDA Library part 2 Library employed a step gradient for chromatographic separation [5% solvent B (2:98 water:acetonitrile) containing 0.1% formic acid for 1.5 min, a step gradient of 5% B-50% B in 0.5 min, held at 50% B for 2 min, a second step of 50% B-100% B in 6 min, held at 100% B for 0.5 min, 100%-5 % B in 0.5 min and kept at 5% B for 0.5 min]. The flow rate was 0.5 mL/min. The mass spectrometer was operated in data dependent positive ion mode; automatically switching between full scan MS and MS/MS acquisitions. Full scan MS spectra (m/z 50 – 1500) were acquired in the TOF and the top ten most intense ions in a particular scan were fragmented using collision induced dissociation (CID) utilizing stepping.
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Natural Products
Natural Products
Natural Products are chemical compounds or substances found in nature, often derived from plants, animals, or microorganisms.
These compounds possess a wide range of biological activities and have been extensively studied for their potential use in medicine, agriculture, and other applications.
Natural Products research focuses on the identification, extraction, characterization, and optimization of these naturally occurring substances, with the aim of developing new therapies, improving agricultural practices, and advancing scientific understanding.
The field of Natural Products encompasses a diverse array of disciplines, including phytochemistry, pharmacognosy, microbiology, and biotechnology.
Reserachers in this field utilize a variety of techniques, such as chromatography, spectroscopy, and bioassays, to analyze and manipulate natural compounds.
The study of Natural Products holds great promise for the discovery of novel, effective, and sustainable solutions to a wide range of challenges facing humanity.
These compounds possess a wide range of biological activities and have been extensively studied for their potential use in medicine, agriculture, and other applications.
Natural Products research focuses on the identification, extraction, characterization, and optimization of these naturally occurring substances, with the aim of developing new therapies, improving agricultural practices, and advancing scientific understanding.
The field of Natural Products encompasses a diverse array of disciplines, including phytochemistry, pharmacognosy, microbiology, and biotechnology.
Reserachers in this field utilize a variety of techniques, such as chromatography, spectroscopy, and bioassays, to analyze and manipulate natural compounds.
The study of Natural Products holds great promise for the discovery of novel, effective, and sustainable solutions to a wide range of challenges facing humanity.
Most cited protocols related to «Natural Products»
acetonitrile
ARID1A protein, human
cDNA Library
Chromatography
formic acid
Ions
Natural Products
Phytochemicals
Radionuclide Imaging
Solvents
Tandem Mass Spectrometry
Anabolism
Animals
Bacteria
Biological Assay
Biopharmaceuticals
Cells
Inclusion Bodies
Investigational New Drugs
Metabolism
Natural Products
Nutraceuticals
Obstetric Delivery
Pharmaceutical Preparations
Plants
Reproduction
Xenobiotics
Zinc
The MIBiG specification needs to capture the architectural and enzymatic variety present in currently described BGCs, and needs to stay flexible enough to also accommodate future discovery of even more diverse clusters and metabolites. In the initial MIBiG release in 2015, we relied only on the cluster submission form to aid annotators in creating valid entries. Now, we also adopted the JSON schema description and validation technology (https://json-schema.org ) that was recently made available, which enables us to embed validation and dependency rules into the schema. This can then be processed programmatically via libraries implemented in almost all popular programming languages.
After implementing the JSON schema updates, we performed a thorough data quality assessment of the entire repository, fixing empty or mistyped information in the data, removing duplicate entries, adding and correcting structural information, adding new entries, and retiring entries we deemed of insufficient quality, e.g. when the sequence assembly does not cover the full DNA sequences of the cluster region, effectively removing spatial context from the BGC data (Supplementary Table S2 ).
Finally, additional cross-links have been established with the Natural Products Atlas (https://www.npatlas.org/ ) and the GNPS spectral library (12 (link)). This enables users to acquire information about specialized metabolites with structures similar to those found in MIBiG, and to identify mass spectra linked to a specific molecule of interest. These additions further complement the already existing links with PubChem (13 (link)) and other compound databases. Connections were made according to compound names and structures matching between the annotated BGCs and the chemical databases.
After implementing the JSON schema updates, we performed a thorough data quality assessment of the entire repository, fixing empty or mistyped information in the data, removing duplicate entries, adding and correcting structural information, adding new entries, and retiring entries we deemed of insufficient quality, e.g. when the sequence assembly does not cover the full DNA sequences of the cluster region, effectively removing spatial context from the BGC data (
Finally, additional cross-links have been established with the Natural Products Atlas (
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DNA Library
DNA Sequence
Enzymes
Mass Spectrometry
Natural Products
Administration, Oral
Buffers
Crystallography
Ligands
Natural Products
Pharmaceutical Preparations
A set of 2,831 Actinobacterial genomes was downloaded from NCBI by querying for "Whole genome shotgun sequencing project" or "Complete genome" in combination with the taxonomic identifier for actinobacteria. The Propionibacteriales, Micrococcales, Corynebacteriales and Bifidobacteriales orders were excluded, as they contain large numbers of genomes without relevant natural product-producing capacity, except the Nocardiaceae family from the Corynebacteriales (see next section). To these set, 249 additional draft assemblies from the Metcalf lab were added (e.g. Streptomyces sp. B-1348. See BioProject PRJNA488366). Draft genome assemblies from this BioProject were obtained by using SPAdes50 (link) with default options.
All files were processed with antiSMASH v417 (link) (parameters:--minimal ). The antiSMASH-annotated genome sequences are available as Online Data (antiSMASH_results_Metcalf_B, antiSMASH_results_Metcalf_J and antiSMASH_results_NCBI).
To the resulting 73,260 predicted Biosynthetic Gene Clusters (BGCs), 1,393 more were added from the Minimum Information about a Biosynthetic Gene Cluster database (MIBiG21 (link), release 1.3, August 2016, antiSMASH-analyzed versions from each entry) as reference data.
This final BGC set was then analyzed with BiG-SCAPE using version 31 of the Pfam database. The “hybrids” mode, which allows BGCs with mixed annotations be analyzed in their individual Class sets (e.g. a BGC annotated as lantipeptide-t1pks will be analyzed as both a RiPP and a PKSI) was enabled. Two results sets were created (Online Data: BiG-SCAPE Results network files): one with the default "global" mode enabled, and the other with "glocal" mode enabled (SeeFig. 2 ).
All files were processed with antiSMASH v417 (link) (parameters:
To the resulting 73,260 predicted Biosynthetic Gene Clusters (BGCs), 1,393 more were added from the Minimum Information about a Biosynthetic Gene Cluster database (MIBiG21 (link), release 1.3, August 2016, antiSMASH-analyzed versions from each entry) as reference data.
This final BGC set was then analyzed with BiG-SCAPE using version 31 of the Pfam database. The “hybrids” mode, which allows BGCs with mixed annotations be analyzed in their individual Class sets (e.g. a BGC annotated as lantipeptide-t1pks will be analyzed as both a RiPP and a PKSI) was enabled. Two results sets were created (Online Data: BiG-SCAPE Results network files): one with the default "global" mode enabled, and the other with "glocal" mode enabled (See
Actinomycetes
Anabolism
Gene Clusters
Genome
Hybrids
Natural Products
Nocardiaceae
Streptomyces
Most recents protocols related to «Natural Products»
A laboratory colony of Aedesaegypti (Rockefeller strain) was maintained at 26 °C, 70% relative humidity (RH) and 10:14 h (L:D photoperiod). Mated females held in plastic cages (11 cm high × 9.5 cm diameter) were fed via an artificial feeding system using citrated bovine blood (HemoStat Laboratories Inc., Dixon, CA, USA). Blood feeding was done routinely using membrane style multiple glass feeders (Chemglass, Life Sciences LLC, Vineland, NJ, USA) attached via tubing to a circulating water bath (HAAKE S7, Thermo-Scientific, Waltham, MA, USA) set at 37 °C. A parafilm M membrane was stretched over the base of the inner chamber of each glass feeder (154 mm2 area). Each feeder was then positioned on the top mesh covering a cage containing mated females. Approximately 350–400 μL of bovine blood was added to the funnel of the glass feeder using a Pasteur pipet (Fisherbrand, Fisher Scientific, Waltham, MA, USA) and the adults were allowed to blood feed for at least an hour. Gravid females were then provided with 10% sucrose solution and allowed to oviposit eggs on moist filter paper lining the inside of a solo ultra clear souffle cup (1.25 Fl. Oz size, Dart Container Corp., Mason, MI, USA) half filled with water placed inside the cage. Filter papers with eggs were placed in Ziploc bags (SC Johnsons, Racine, WI) and stored at 26 °C. Eggs were hatched and batches of approximately 200–250 larvae were reared in plastic trays and larvae were fed with a mixture of rabbit food (ZuPreem, Premium Natural Products, Inc., Mission, KS, USA), liver powder (MP Biomedicals, LLC, Solon, OH, USA) and fish flakes (TetraMin, Tetra GMPH, Mell, Germany) at 2:1:1 ratio. Late third instar larvae were used for our bioassays.
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Adult
ARID1A protein, human
Bath
Biological Assay
Blood
Cattle
Eggs
Females
Fishes
Food
Hemostasis
Humidity
Larva
Liver
Natural Products
Powder
Pregnant Women
Rabbits
Solon
Sucrose
Tetragonopterus
Tissue, Membrane
Peaks were classified and tentatively annotated with SIRIUS (Dührkop et al., 2019 (link)), ZODIAC (Ludwig et al., 2020 ), CSI:FingerID (Dührkop et al., 2015 ; Hoffmann et al., 2021 ), and CANOPUS (Djoumbou Feunang et al., 2016 (link); Dührkop et al., 2021 (link)) using ClassyFire and NPClassifier (Djoumbou Feunang et al., 2016 (link); Kim et al., 2021 (link)) based on MS2 fragmentation patterns using SIRIUS software version 5.6.2. Default settings were used for SIRIUS, ZODIAC, and CSI:FingerID, however only formulas from natural-product based databases were considered (Bio Datadase, Biocyc, CHEBI, COCONUT, EcoCyc Mine, CNPS, HMDB, KEGG, KEGG Mine, KNApSAcK, Natural Products and Plantcyc) for CANOPUS in the SIRIUS software suite. To tentatively identify a compound, a combination of COSMIC and ZODIAC scores were considered. Manual analysis of the matching substructures was conducted before structural assignment was made. If the fragmentation pattern did not match the structures proposed by CSI:FingerID, matching fragments from the proposed structures were considered when the class was assigned using CANOPUS. If the ZODIAC score was < 50%, no tentative identification was made. If the SIRIUS score was < 50% with no accompanying ZODIAC score, no identification was made. For an overview of the detected compound classes, a sunburst plot of all classified features was constructed.
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Coconut
Cosmic composite resin
Diet, Formula
Natural Products
The chemosensitivity of the cells to a variety of conventional chemotherapeutic drugs, small molecule inhibitors, and natural products was determined using an MTT assay. The choice of chemotherapeutic agents was motivated by the desire to compare cell response between two models, 3D cells in the present study and semi-solid Matrigel-embedded cells in our previous study (22 (link)). Standard chemotherapeutic agents that target proliferating cell mechanisms, as well as drugs with multi-targeted actions that do not rely on the proliferative status of the cells, were used. Doxorubicin, etoposide, vinblastine, paclitaxel, 2-deoxyglucose (2-DG), emodin, apigenin, resveratrol, caffeic acid phenethyl ester (CAPE), curcumin, capsaicin, shikonin, and dihydroxybenzaldehyde (DHBZ) were purchased from MilliporeSigma. Cucurbitacin I (CBC-I), AG-490, and BAY 11-7085 were purchased from Calbiochem. Chrysin was kindly provided by Dr Sirivan Athikomkulchai (Faculty of Pharmacy, Srinakharinwirot University, Nakhon Nayok, Thailand). Briefly, 100 µl of the cell suspension was seeded into each well of a 96-well plate (1×104 cells), then 100 µl of cytotoxic agents in a range of concentrations or a vehicle (cell culture media) were added. After 48 h of incubation, each well was replaced with 100 µl of 0.5 mg/ml MTT solution (MilliporeSigma) and incubated for another 2 h at 37°C. Absorbance was measured at 550 nm (650 nm was subtracted as the reference wavelength) using a microplate reader. The IC50 value for each cytotoxic drug (the drug concentration exhibiting 50% cell viability) was calculated.
AG-490
Antineoplastic Agents
Apigenin
BAY 11-7085
Biological Assay
caffeic acid phenethyl ester
Capsaicin
Cell Culture Techniques
Cells
Cell Survival
chrysin
cucurbitacin I
Culture Media
Curcumin
Cytotoxin
Doxorubicin
Drug Delivery Systems
Emodin
Etoposide
Faculty, Pharmacy
inhibitors
matrigel
Natural Products
Paclitaxel
Pharmaceutical Preparations
Pharmacotherapy
Resveratrol
shikonin
Vinblastine
The key screening model parameters, signal-to-noise ratio (S/N), signal background ratio (S/B), coefficient of variation (CV), and Z factor (Z’), were calculated as follows (Zhao et al., 2019 (link)): S/N = (Meansignal—Meanbackground)/SDbackground, S/B = Meansignal/Meanbackground, CV = SDcontrol/Meancontrol × 100%, and Z’ = 1—(3SDsignal + 3SDcontrol)/(Meansignal—Meancontrol). In screening, 2,791 compounds from the L1000-Approved Drug Library and L6000 Natural Product Library (Topscience Co. Ltd., Shanghai, China) were tested. HUVEC cells were incubated simultaneously with LPS and compound for 24 h, and then the labeled THP-1 cells were added to co-culture for 15 min. After the plate was washed, the fluorescence intensity (FI) was detected. The inhibitory activity of drugs against cell adhesion was calculated as follows: Inhibition rate (%) = (FIdrug—FIcontrol)/(FImodel—FIcontrol) × 100%.
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cDNA Library
Cell Adhesion
Coculture Techniques
Drug Compounding
Fluorescence
Human Umbilical Vein Endothelial Cells
N-dodecyl-L-lysine amide
Natural Products
Pharmaceutical Preparations
Psychological Inhibition
THP-1 Cells
To utilize the Command Line Interface (CLI) of SIRIUS (version 4.9.12), a parameter file is required as an input for each precursor mass [m/z]. The sirius_param function is used to generate these parameter files in SIRIUS readable.ms format. The parameter file contains the id of the feature, precursor mass [m/z], charge, the median of retention time [s], isotopic peaks if present, and the MS1 and MS2 peaks. In order to extract this information, ms2_peaks and ms1_peaks functions are required. ms2_peaks extracts and combines the fragment peak lists for each precursor mass [m/z]. The R package CAMERA is used to extract MS1 peaks and perform isotope annotation. To run SIRIUS, the run_sirius function is applied based on the isotopic peak annotation. Here, the user can define the database to be used within SIRIUS. For the standards dataset, the “all” database was used, which is a combination of many databases such as PubChem, HMDB, and COCONUT (COlleCtion of Open Natural ProdUcTs). The “all” database is also the default setting. For the bryophytes dataset, the “bio” database was used, which is a collection of different chemical databases reserved for biological sources. Another database used for annotating the bryophytes dataset is the COCONUT database [50 (link)]. For compound classification, CANOPUS is used [51 (link)]. Figure 2 describes the step-wise functions in the compound database dereplication module, using SIRIUS.
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Biopharmaceuticals
Cocos nucifera
Isotopes
Mosses
Natural Products
Retention (Psychology)
Top products related to «Natural Products»
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DMSO is a versatile organic solvent commonly used in laboratory settings. It has a high boiling point, low viscosity, and the ability to dissolve a wide range of polar and non-polar compounds. DMSO's core function is as a solvent, allowing for the effective dissolution and handling of various chemical substances during research and experimentation.
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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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Methanol is a clear, colorless, and flammable liquid that is widely used in various industrial and laboratory applications. It serves as a solvent, fuel, and chemical intermediate. Methanol has a simple chemical formula of CH3OH and a boiling point of 64.7°C. It is a versatile compound that is widely used in the production of other chemicals, as well as in the fuel industry.
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The BEH C18 column is a high-performance liquid chromatography (HPLC) column designed for the separation and analysis of a wide range of compounds. It features a Waters Ethylene Bridged Hybrid (BEH) stationary phase, which provides excellent peak shape and resolution for various types of analytes.
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The Synapt G2 HDMS is a quadrupole time-of-flight hybrid mass spectrometer manufactured by Waters Corporation. It combines a quadrupole mass analyzer with a time-of-flight mass analyzer to provide high-resolution and accurate mass measurements.
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Formic acid is a clear, colorless liquid chemical compound used in various industrial and laboratory applications. It is the simplest carboxylic acid, with the chemical formula HCOOH. Formic acid has a pungent odor and is highly corrosive. It is commonly used as a preservative, pH adjuster, and analytical reagent in laboratory settings.
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The Ultra Performance Liquid Chromatography (UPLC) system is a high-performance liquid chromatography (HPLC) instrument designed to analyze complex samples with enhanced resolution, sensitivity, and speed. It utilizes sub-2-micron particle stationary phases and operates at higher pressures compared to traditional HPLC systems.
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Discovery Studio 4.5 is a comprehensive software platform for molecular modeling, simulation, and analysis. It provides a suite of tools for visualizing, modeling, and analyzing molecular structures and interactions. The software is designed for researchers and scientists working in the fields of computational chemistry, structural biology, and drug discovery.
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Acetonitrile is a highly polar, aprotic organic solvent commonly used in analytical and synthetic chemistry applications. It has a low boiling point and is miscible with water and many organic solvents. Acetonitrile is a versatile solvent that can be utilized in various laboratory procedures, such as HPLC, GC, and extraction processes.
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The Milli-Q system is a water purification system designed to produce high-quality ultrapure water. It utilizes a multi-stage filtration process to remove impurities, ions, and organic matter from the input water, resulting in water that meets the strict standards required for various laboratory applications.
More about "Natural Products"
Explore the Boundless Potential of Natural Compounds: A Comprehensive Guide to Natural Products Research Natural products, also known as secondary metabolites, are a vast and diverse group of chemical compounds found in nature, often derived from plants, animals, and microorganisms.
These unique and complex molecules possess a wide range of biological activities, making them a valuable resource for various applications, including medicine, agriculture, and industry.
The field of natural products research encompasses a multidisciplinary approach, drawing from disciplines such as phytochemistry, pharmacognosy, microbiology, and biotechnology.
Researchers in this field utilize a variety of advanced techniques, including chromatography (e.g., UPLC using a BEH C18 column), spectroscopy (e.g., Synapt G2 HDMS quadrupole time-of-flight hybrid mass spectrometer), and bioassays, to identify, extract, characterize, and optimize these naturally occurring substances.
The identification and characterization of natural products often involve the use of solvents like DMSO, methanol, and acetonitrile, as well as additives like formic acid, to facilitate extraction and analysis.
The processed samples are then subjected to rigorous testing, including the use of Discovery Studio 4.5 for data analysis and interpretation.
The study of natural products holds great promise for the discovery of novel, effective, and sustainable solutions to a wide range of challenges facing humanity.
From the development of new therapeutic agents to the improvement of agricultural practices and the advancement of scientific understanding, natural products research is a field of immense importance and potential.
Whether you're a researcher, a scientist, or simply someone fascinated by the wonders of the natural world, exploring the boundless potential of natural compounds through PubCompare.ai's cutting-edge AI-driven platform can be a transformative experience.
Discover the latest advancements, optimize your research protocols, and unlock the secrets of nature's most remarkable creations.
These unique and complex molecules possess a wide range of biological activities, making them a valuable resource for various applications, including medicine, agriculture, and industry.
The field of natural products research encompasses a multidisciplinary approach, drawing from disciplines such as phytochemistry, pharmacognosy, microbiology, and biotechnology.
Researchers in this field utilize a variety of advanced techniques, including chromatography (e.g., UPLC using a BEH C18 column), spectroscopy (e.g., Synapt G2 HDMS quadrupole time-of-flight hybrid mass spectrometer), and bioassays, to identify, extract, characterize, and optimize these naturally occurring substances.
The identification and characterization of natural products often involve the use of solvents like DMSO, methanol, and acetonitrile, as well as additives like formic acid, to facilitate extraction and analysis.
The processed samples are then subjected to rigorous testing, including the use of Discovery Studio 4.5 for data analysis and interpretation.
The study of natural products holds great promise for the discovery of novel, effective, and sustainable solutions to a wide range of challenges facing humanity.
From the development of new therapeutic agents to the improvement of agricultural practices and the advancement of scientific understanding, natural products research is a field of immense importance and potential.
Whether you're a researcher, a scientist, or simply someone fascinated by the wonders of the natural world, exploring the boundless potential of natural compounds through PubCompare.ai's cutting-edge AI-driven platform can be a transformative experience.
Discover the latest advancements, optimize your research protocols, and unlock the secrets of nature's most remarkable creations.