ReviewNatural product reports2026
Structural determination of natural products at speeds and scale of high-throughput screening.
Review in Natural product reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Covering 2000 up to 2025.This review assesses analytical techniques available for routine structural elucidation of small molecules as part of high-throughput screening campaigns of natural product libraries. The emphasis is on the speed and scale of task management and highlights advances in technologies and library tools that enable the structural elucidation of complex molecules on small-scale and rapid timelines. We present the state of the art in the natural product field and provide a critical assessment of available techniques and tools, with a focus on the ability to analyze large numbers of samples in short timelines that can meet the speed and scale of high-throughput screening.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.