ArticleFrontiers in microbiology2022
Identifying novel antimicrobial peptides from venom gland of spider
Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- NMR Unveils Activity Mechanism of Linear Spider Venom Peptide Fragments Selected by Neural Networks Against Staphylococci Including MRSA.Pharmaceutics · 2025Article
- PA-Win2: In Silico-Based Discovery of a Novel Peptide with Dual Antibacterial and Anti-Biofilm Activity.Antibiotics (Basel, Switzerland) · 2024Article
- Recent Progress in Terrestrial Biota Derived Antibacterial Agents for Medical Applications.Molecules (Basel, Switzerland) · 2024Review
- From Data to Decisions: Leveraging Artificial Intelligence and Machine Learning in Combating Antimicrobial Resistance - a Comprehensive Review.Journal of medical systems · 2024Review
- Contrastive learning for enhancing feature extraction in anticancer peptides.Briefings in bioinformatics · 2024Article
- GATR-3, a Peptide That Eradicates Preformed Biofilms of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2023Article
- Antimicrobial Activity ofAntibiotics (Basel, Switzerland) · 2023Article
- Immunostimulation ofPeerJ · 2023Article
- Design and Evaluation of a Novel Anti-microbial Peptide from Cathelicidin-2: Selectively Active AgainstIranian journal of pharmaceutical research : IJPRArticle
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial peptides (AMPs) show promises as valuable compounds for developing therapeutic agents to control the worldwide health threat posed by the increasing prevalence of antibiotic-resistant bacteria. Animal venom can be a useful source for screening AMPs due to its various bioactive components. Here, the deep learning model was developed to predict species-specific antimicrobial activity. To overcome the data deficiency, a multi-task learning method was implemented, achieving
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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.