ArticleDatabase : the journal of biological databases and curation2018
AntiTbPdb: a knowledgebase of anti-tubercular peptides.
Article in Database : the journal of biological databases and curation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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
42 citing papers in PubMed.
- Antimicrobial peptides for tuberculosis in a post-antibiotic era: from in vitro promise to therapeutic potential.npj antimicrobials and resistance · 2026Review
- Comparative Biological and Functional Profiling of Single-Position Cysteine Substitutions in the HNP-1-Derived Peptide Pep-H AgainstAntibiotics (Basel, Switzerland) · 2026Article
- Review
- The Snakin Family of Antimicrobial Peptides: Promising Alternatives to Conventional Antibiotics.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Contemporary data-driven innovations in peptide-based therapeutic design.Briefings in bioinformatics · 2026Review
- MTB-ImmunogenKG: An LLM-assisted knowledge graph for antigen selection in tuberculosis vaccine research.Biosafety and health · 2026Article
- Redefining Therapies for Drug-Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design.Advanced healthcare materials · 2026Review
- Artificial intelligence-driven discovery of bioactive peptides: Computational approaches and future perspectives.aBIOTECH · 2026Review
- Article
- A comprehensive dataset of therapeutic peptides on multi-function property and structure information.Scientific data · 2025Article
- Lead Informed Artificial Intelligence Mining of Antitubercular Host Defense Peptides.Biomacromolecules · 2025Article
- Prediction of inhibitory peptides against E.coli with desired MIC value.Scientific reports · 2025Article
- Review
- Computational Study of Antimicrobial Peptides for Promising Therapeutic Applications against Methicillin-resistantCurrent computer-aided drug design · 2025Article
- Deep learning-based classification of peptide analytes from single-channel nanopore translocation events.PloS one · 2025Article
- Long short-term memory-based deep learning model for the discovery of antimicrobial peptides targetingBioinformatics advances · 2025Article
- ApoE Mimetic Peptide COG1410 KillsAntibiotics (Basel, Switzerland) · 2024Article
- AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria.Antibiotics (Basel, Switzerland) · 2024Article
- Article
- Perspectives in Searching Antimicrobial Peptides (AMPs) Produced by the Microbiota.Microbial ecology · 2023Review
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
Database URL: http://webs.iiitd.edu.in/raghava/antitbpdb/.
Indexed as
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.