Benefiting from big data in natural products: importance of preserving foundational skills and prioritizing data quality

scientific article published on 04 November 2021

Benefiting from big data in natural products: importance of preserving foundational skills and prioritizing data quality is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1039/D1NP00061F

P50authorJon ClardyQ16106217
Marnix H MedemaQ41048009
Nadja B CechQ89793986
P2860cites workArtemisinin-A Gift from Traditional Chinese Medicine to the World (Nobel Lecture).Q30248633
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Systems-Level Annotation of a Metabolomics Data Set Reduces 25 000 Features to Fewer than 1000 Unique Metabolites.Q47979506
Culture-independent discovery of the malacidins as calcium-dependent antibiotics with activity against multidrug-resistant Gram-positive pathogens.Q50055239
Hierarchical cluster analysis of technical replicates to identify interferents in untargeted mass spectrometry metabolomics.Q52313333
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Molecular cloning of the whole biosynthetic pathway of a Streptomyces antibiotic and its expression in a heterologous hostQ59085264
Cadasides, Calcium-Dependent Acidic Lipopeptides from the Soil Metagenome That Are Active against Multidrug-Resistant Bacteria.Q64880882
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The Science of Antibiotic DiscoveryQ90515984
Linking genomics and metabolomics to chart specialized metabolic diversityQ94563659
Reproducible molecular networking of untargeted mass spectrometry data using GNPSQ94671866
Prediction of natural products classes using machine learning and 13C NMR spectroscopic dataQ96350503
Genomic discovery of an evolutionarily programmed modality for small-molecule targeting of an intractable protein surfaceQ96816307
P275copyright licenseCreative Commons Attribution-NonCommercial 3.0 UnportedQ18810331
P6216copyright statuscopyrightedQ50423863
P433issue11
P921main subjectbig dataQ858810
natural productQ901227
data qualityQ1757694
P304page(s)1947-1953
P577publication date2021-11-04
P1433published inNatural Product ReportsQ2376904
P1476titleBenefiting from big data in natural products: importance of preserving foundational skills and prioritizing data quality
P478volume38

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cites work (P2860)
Q122615591Artificial intelligence for natural product drug discovery
Q117043683Open data and algorithms for open science in AI-driven molecular informatics

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