ArticleScientific data2025
A comprehensive dataset of therapeutic peptides on multi-function property and structure information.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Contemporary data-driven innovations in peptide-based therapeutic design.Briefings in bioinformatics · 2026Review
- A deep reinforcement learning platform for antibiotic discovery.bioRxiv : the preprint server for biology · 2025Article
- A comprehensive dataset of therapeutic peptides on multi-function property and structure information.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
This paper presents a comprehensive dataset comprising 58,583 experimentally validated therapeutic peptides with annotated structure information. These peptides are grouped into 47 categories based on their function or therapeutic property like antimicrobial or glucose-regulatory, of which 21,130 are multi-function peptides and 54,722 possess structural annotation information. We believe this dataset can be useful for the relevant research of therapeutic peptides, especially for computational tool developments in therapeutic peptide discovery and further exploration of the 'sequence-structure-function' relationship for therapeutic peptides.
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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.