ArticleFrontiers in pharmacology2018
AIPpred: Sequence-Based Prediction of Anti-inflammatory Peptides Using Random Forest.
Article in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 1 of them a synthesis that pooled it.
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
101 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Protein Sequence Analysis landscape: A Systematic Review of Task Types, Databases, Datasets, Word Embeddings Methods, and Language Models.Database : the journal of biological databases and curation · 2025Pooled it
- Artificial intelligence catalyzes antimicrobial peptide design.Synthetic and systems biotechnology · 2027Review
- HD-AIP: a heterogeneous dual-stream alignment-free framework for anti-inflammatory peptide prediction based on language models and CT-Net.Bioinformatics (Oxford, England) · 2026Article
- Functional diversification across yeast lineages of the nucleus-vacuole junction forming protein Nvj1.bioRxiv : the preprint server for biology · 2026Article
- Sequence determinant and functional relevance of 8-oxoguanine RNA modification unveiled from foundation-model-based predictor.Molecular therapy. Nucleic acids · 2026Article
- EAGP: an efficient generative augmentation framework for phage protein classification under severe class imbalance.Bioinformatics (Oxford, England) · 2026Article
- Article
- Integrative Peptide Drug Development: Chemical Engineering, AI-Driven Design, and Cell-Penetrating Peptides.Pharmaceutics · 2026Review
- Bioactive secretory leukocyte protease inhibitor (SLPI)-derived short peptides (SDSPs) attenuate LPS-induced inflammatory responses in macrophages.Scientific reports · 2026Article
- Artificial Intelligence-Driven Discovery and Optimization of Antimicrobial Peptides Targeting ESKAPE Pathogens and Multidrug-Resistant Fungi.Microorganisms · 2026Review
- Artificial intelligence-driven discovery of bioactive peptides: Computational approaches and future perspectives.aBIOTECH · 2026Review
- DPAS: disease-associated peptide anomaly score for identifying pathogenic peptides via one-class learning.Scientific reports · 2026Article
- A multi-epitope approach for development of a universal vaccine against leptospirosis.Frontiers in immunology · 2026Article
- Seq2Bind webserver for binding site prediction from sequences using fine-tuned protein language models.NAR genomics and bioinformatics · 2025Article
- Purification and Characterization of Anti-Inflammatory Peptide Fractions from Enzymatic Hydrolysate of Abalone Viscera.Foods (Basel, Switzerland) · 2025Article
- Biomolecule-functionalized dental implant surfaces: Towards augmenting soft tissue integration.Bioactive materials · 2025Review
- Bioactivities Derived from Dry-Cured Ham Peptides: A Review.Antioxidants (Basel, Switzerland) · 2025Review
- Advancing therapeutic vaccines for chronic hepatitis B: Integrating reverse vaccinology and immunoinformatics.World journal of hepatology · 2025Review
- MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction.BMC plant biology · 2025Article
- NeXtMD: a new generation of machine learning and deep learning stacked hybrid framework for accurate identification of anti-inflammatory peptides.BMC biology · 2025Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of therapeutic peptides in various inflammatory diseases and autoimmune disorders has received considerable attention; however, the identification of anti-inflammatory peptides (AIPs) through wet-lab experimentation is expensive and often time consuming. Therefore, the development of novel computational methods is needed to identify potential AIP candidates prior to
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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.