ReviewToxins2014
Quo vadis venomics? A roadmap to neglected venomous invertebrates.
Review in Toxins, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
What it found
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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
60 citing papers in PubMed.
- Vector venom: venomics of Aedes albopictus reveals a large enzyme repertoire and novel cecropins with activity against E. coli.npj drug discovery · 2026Article
- Article
- Article
- Quantitative analysis of growth and diversification in venom data using database metrics.Database : the journal of biological databases and curation · 2026Article
- Comparative venomics suggests an evolutionary adaption of spider venom from predation to defense.Communications biology · 2025Article
- Prickly Defenders: A Review of Venomous Sea Urchins (Echinoidea).Marine drugs · 2025Review
- Bite First, Bleed Later: How PhilippineToxins · 2025Article
- Prospects and challenges of recombinant spider venom enzymes: insights fromFrontiers in bioengineering and biotechnology · 2025Article
- Therapeutic Potential ofBiomolecules · 2024Article
- Enlightening the toxinological dark matter of spider venom enzymes.npj biodiversity · 2024Article
- Article
- Venom Ex Machina? Exploring the Potential of Cell-Free Protein Production for Venom Biodiscovery.International journal of molecular sciences · 2024Article
- Diversely evolved xibalbin variants from remipede venom inhibit potassium channels and activate PKA-II and Erk1/2 signaling.BMC biology · 2024Article
- Determining the pharmacological potential and biological role of linear pseudoscorpion toxins via functional profiling.iScience · 2024Article
- Article
- Article
- Article
- Venomous Noodles: The Evolution of Toxins in Nemertea through Positive Selection and Gene Duplication.Toxins · 2023Article
- Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Venomics research is being revolutionized by the increased use of sensitive -omics techniques to identify venom toxins and their transcripts in both well studied and neglected venomous taxa. The study of neglected venomous taxa is necessary both for understanding the full diversity of venom systems that have evolved in the animal kingdom, and to robustly answer fundamental questions about the biology and evolution of venoms without the distorting effect that can result from the current bias introduced by some heavily studied taxa. In this review we draw the outlines of a roadmap into the diversity of poorly studied and understood venomous and putatively venomous invertebrates, which together represent tens of thousands of unique venoms. The main groups we discuss are crustaceans, flies, centipedes, non-spider and non-scorpion arachnids, annelids, molluscs, platyhelminths, nemerteans, and echinoderms. We review what is known about the morphology of the venom systems in these groups, the composition of their venoms, and the bioactivities of the venoms to provide researchers with an entry into a large and scattered literature. We conclude with a short discussion of some important methodological aspects that have come to light with the recent use of new -omics techniques in the study of venoms.
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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.