scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1169013376 |
P356 | DOI | 10.1021/ACSCENTSCI.3C00800 |
P953 | full work available at URL | https://pubs.acs.org/doi/pdf/10.1021/acscentsci.3c00800 |
P10283 | OpenAlex ID | W4391957298 |
P932 | PMC publication ID | 10979503 |
P8299 | Semantic Scholar corpus ID | 263313465 |
P4011 | Semantic Scholar paper ID | 01d0cc4b77304c1f974ff0db2b8f096586488d09 |
P7228 | access restriction status | open access | Q232932 |
P7137 | acknowledged | Federal Ministry of Education and Research | Q492234 |
Laboratoires Pierre Fabre | Q626597 | ||
Ministry of Foreign Affairs of the Netherlands | Q1037495 | ||
Drugs for Neglected Diseases Initiative | Q2717504 | ||
P50 | author | Antonio Grondin | Q116245496 |
Jean-Robert Ioset | Q124670633 | ||
Marcel Kaiser | Q30347237 | ||
Luis Quirós-Guerrero | Q104071610 | ||
Bruno David | Q110950839 | ||
Jean-Luc Wolfender | Q56084663 | ||
Pierre-Marie Allard | Q56451301 | ||
Florence Mehl | Q58856504 | ||
Emerson Ferreira Queiroz | Q87644493 | ||
Luca Cappelletti | Q95661345 | ||
Adriano Rutz | Q97455964 | ||
Sébastien Moretti | Q42233018 | ||
Laurence Marcourt | Q43275441 | ||
Marco Pagni | Q47097366 | ||
Arnaud Gaudry | Q55085984 | ||
P2860 | cites work | MEMO: Mass Spectrometry-Based Sample Vectorization to Explore Chemodiverse Datasets | Q111601978 |
The LOTUS initiative for open knowledge management in natural products research | Q112143478 | ||
Toward better drug discovery with knowledge graph | Q112819362 | ||
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Mass spectrometry data on specialized metabolome of medicinal plants used in East Asian traditional medicine | Q113633132 | ||
Database-independent molecular formula annotation using Gibbs sampling through ZODIAC | Q114864640 | ||
Natural Products as Sources of New Drugs over the Nearly Four Decades from 01/1981 to 09/2019 | Q114867582 | ||
CFM-ID 4.0: More Accurate ESI-MS/MS Spectral Prediction and Compound Identification | Q114871623 | ||
Universal Spectrum Identifier for mass spectra | Q114953382 | ||
Isolation and characterization of pristimerin as the antiplasmodial and antileishmanial agent of Maytenus senegalensis (Lam.) Exell. | Q115949731 | ||
Open and reusable annotated mass spectrometry dataset of a chemodiverse collection of 1,600 plant extracts | Q116245417 | ||
Trapping‐Enrichment Multi‐dimensional Liquid Chromatography with On‐Line Deuterated Solvent Exchange for Streamlined Structure Elucidation at the Microgram Scale | Q127060110 | ||
A NEW FLUOROMETRIC ASSAY FOR CYTOTOXICITY MEASUREMENTS IN-VITRO | Q127060112 | ||
Trackable and scalable LC-MS metabolomics data processing using asari | Q127060119 | ||
lesSDRF is more: maximizing the value of proteomics data through streamlined metadata annotation | Q127060120 | ||
Bio-SODA UX: enabling natural language question answering over knowledge graphs with user disambiguation | Q127060122 | ||
Cultivation in a semi-defined medium of animal infective forms of Trypanosoma brucei, T. equiperdum, T. evansi, T. rhodesiense and T. gambiense. | Q128791915 | ||
Synthesis of phylogeny and taxonomy into a comprehensive tree of life | Q21714372 | ||
Cytoscape: a software environment for integrated models of biomolecular interaction networks | Q24515682 | ||
A cross-platform toolkit for mass spectrometry and proteomics | Q24629036 | ||
MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data | Q27136473 | ||
MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis | Q27807488 | ||
Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking | Q27818844 | ||
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy | Q27902281 | ||
ChEMBL: a large-scale bioactivity database for drug discovery | Q28315179 | ||
ChEMBL web services: streamlining access to drug discovery data and utilities | Q28647641 | ||
XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification | Q29616057 | ||
Mass spectral molecular networking of living microbial colonies | Q30519465 | ||
Pure compound libraries; a new perspective for natural product based drug discovery | Q30699667 | ||
ReDU: a framework to find and reanalyze public mass spectrometry data | Q98513836 | ||
Feature-based molecular networking in the GNPS analysis environment | Q98665248 | ||
Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra | Q102369470 | ||
Studies on terpenoids and steroids. Part 10. Structures of four new natural phenol is D:A-friedo-24-noroleanane triterpenoids | Q104393001 | ||
Visualization of very large high-dimensional data sets as minimum spanning trees | Q106856815 | ||
UMAP: Uniform Manifold Approximation and Projection | Q107272666 | ||
Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships | Q108126799 | ||
Advancements in capturing and mining mass spectrometry data are transforming natural products research | Q108844055 | ||
High-confidence structural annotation of metabolites absent from spectral libraries | Q109715913 | ||
NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products | Q110391628 | ||
OpenTree: A Python Package for Accessing and Analyzing Data from the Open Tree of Life | Q111149904 | ||
GNPS Dashboard: collaborative exploration of mass spectrometry data in the web browser | Q111441830 | ||
A knowledge graph to interpret clinical proteomics data | Q111509846 | ||
The pharmaceutical industry and natural products: historical status and new trends | Q58856029 | ||
SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information | Q63352058 | ||
Wikidata: A large-scale collaborative ontological medical database | Q68471881 | ||
Respiratory control in mitochondria from Trypanosoma cruzi | Q69914799 | ||
Rotenone at high concentrations inhibits NADH-fumarate reductase and the mitochondrial respiratory chain of Trypanosoma brucei and T. cruzi | Q74773675 | ||
Potentially cytotoxic triterpenoids from the root bark of Siphonodon celastrineus Griff | Q81882965 | ||
Wikidata as a knowledge graph for the life sciences | Q87830400 | ||
Cytotoxic Triterpenes from Salacia crassifolia and Metabolite Profiling of Celastraceae Species | Q89170532 | ||
Troubleshooting in Large-Scale LC-ToF-MS Metabolomics Analysis: Solving Complex Issues in Big Cohorts | Q90946288 | ||
Taxonomically Informed Scoring Enhances Confidence in Natural Products Annotation | Q91218352 | ||
Innovative omics-based approaches for prioritisation and targeted isolation of natural products - new strategies for drug discovery | Q91903041 | ||
Mass spectrometry searches using MASST | Q92365644 | ||
Utility of dry load injection for an efficient natural products isolation at the semi-preparative chromatographic scale | Q92705165 | ||
Plate-based diversity selection based on empirical HTS data to enhance the number of hits and their chemical diversity | Q33468796 | ||
Property distributions: differences between drugs, natural products, and molecules from combinatorial chemistry | Q34172646 | ||
Small molecules of different origins have distinct distributions of structural complexity that correlate with protein-binding profiles | Q34279373 | ||
Efficient technique for screening drugs for activity against Trypanosoma cruzi using parasites expressing beta-galactosidase | Q35129381 | ||
Cheminformatic comparison of approved drugs from natural product versus synthetic origins | Q36167128 | ||
Searching molecular structure databases with tandem mass spectra using CSI:FingerID. | Q36179301 | ||
Bioactive natural products prioritization using massive multi-informational molecular networks | Q38614529 | ||
One Step Forward for Reducing False Positive and False Negative Compound Identifications from Mass Spectrometry Metabolomics Data: New Algorithms for Constructing Extracted Ion Chromatograms and Detecting Chromatographic Peaks. | Q38655770 | ||
Chemical constituents from Waltheria indica exert in vitro activity against Trypanosoma brucei and T. cruzi. | Q38864380 | ||
A comparison of three methods of estimating EC50 in studies of drug resistance of malaria parasites | Q39085081 | ||
The Alamar Blue® assay to determine drug sensitivity of African trypanosomes (T.b. rhodesiense and T.b. gambiense) in vitro | Q39416311 | ||
Integration of Molecular Networking and In-Silico MS/MS Fragmentation for Natural Products Dereplication. | Q39993461 | ||
Antifungal Quinoline Alkaloids from Waltheria indica | Q40020934 | ||
A new rapid and simple non-radioactive assay to monitor and determine the proliferation of lymphocytes: an alternative to [3H]thymidine incorporation assay | Q41474027 | ||
Systematic integration of biomedical knowledge prioritizes drugs for repurposing | Q42255083 | ||
Bisnortriterpenes from Salacia madagascariensis | Q43948141 | ||
Antiprotozoal activity of quinonemethide triterpenes from Maytenus ilicifolia (Celastraceae). | Q46081991 | ||
A simple colorimetric method to screen drug cytotoxicity against Leishmania using the dye Alamar Blue | Q50506555 | ||
Natural product-likeness score and its application for prioritization of compound libraries | Q51899910 | ||
New culture medium for maintenance of tsetse tissues and growth of trypanosomatids | Q52434329 | ||
Propagating annotations of molecular networks using in silico fragmentation | Q52580602 | ||
Sachem: a chemical cartridge for high-performance substructure search. | Q55016200 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | Wikidata | Q2013 |
liquid chromatography–mass spectrometry | Q873864 | ||
ChEMBL | Q6120337 | ||
RDFLib | Q7276224 | ||
NMR spectroscopy | Q10359898 | ||
Python | Q28865 | ||
NPClassifier | Q112144253 | ||
MZmine | Q112189098 | ||
msConvert | Q112506514 | ||
SIRIUS | Q124358188 | ||
Semantic Web | Q54837 | ||
Open Tree of Life | Q22661281 | ||
LOTUS | Q104225190 | ||
Ontotext GraphDB | Q58425577 | ||
P8324 | funder | Swiss National Science Foundation | Q471732 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | data mining | Q172491 |
software framework | Q271680 | ||
liquid chromatography–mass spectrometry | Q873864 | ||
natural product | Q901227 | ||
drug discovery | Q1418791 | ||
Pristimera indica | Q11075650 | ||
Reissantia indica | Q17240574 | ||
bioactive compound | Q17774539 | ||
11β-hydroxypristimerin | Q125208651 | ||
celastrol methyl ester | Q27108073 | ||
Zeylasteral | Q105027438 | ||
knowledge graph | Q33002955 | ||
P6954 | online access status | open access | Q232932 |
P577 | publication date | 2024-02-20 | |
P1433 | published in | ACS Central Science | Q27726586 |
P1476 | title | A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery |
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