ReviewComputational and structural biotechnology journal2022
The dynamic landscape of peptide activity prediction.
Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 24 citations in OpenAlex.
- DeepPepQSAR: all-in-one for comprehensively exploiting the vast molecular diversity space of bioactive peptide universe.Molecular diversity · 2026Article
- Generative models for antimicrobial peptide design: auto-encoders and beyond.BioData mining · 2026Article
- Recent advances in structural and functional diversities of cancer lncRNA-encoded peptides: current opportunities and challenges for enhancing cancer diagnosis and treatment.Cancer cell international · 2026Review
- Unveiling low-abundance ACE inhibitory peptides in not-from-concentrate orange juice processed by high-pressure processing and pasteurization.NPJ science of food · 2025Article
- AI-guided discovery and optimization of antimicrobial peptides through species-aware language model.Briefings in bioinformatics · 2025Article
- AI-Driven Antimicrobial Peptide Discovery: Mining and Generation.Accounts of chemical research · 2025Review
- Peptide Property Prediction for Mass Spectrometry Using AI: An Introduction to State of the Art Models.Proteomics · 2025Review
- Structural information in therapeutic peptides: Emerging applications in biomedicine.FEBS open bio · 2025Review
- RoseTTAFold diffusion-guided short peptide design: a case study of binders against Keap1/Nrf2.Computational and structural biotechnology journal · 2025Article
- The role of amphipathic and cationic helical peptides in Parkinson's disease.Protein science : a publication of the Protein Society · 2025Review
- Therapeutic Potential ofBiomolecules · 2024Article
- Unifying antimicrobial peptide datasets for robust deep learning-based classification.Data in brief · 2024Article
- Review
- Plant Protease Inhibitors as Emerging Antimicrobial Peptide Agents: A Comprehensive Review.Pharmaceutics · 2024Review
- Machine learning tools for peptide bioactivity evaluation - Implications for cell culture media optimization and the broader cultivated meat industry.Current research in food science · 2024Article
- Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence.Methods in molecular biology (Clifton, N.J.) · 2024Article
- aSynPEP-DB: a database of biogenic peptides for inhibiting α-synuclein aggregation.Database : the journal of biological databases and curation · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peptides are known to possess a plethora of beneficial properties and activities: antimicrobial, anticancer, anti-inflammatory or the ability to cross the blood-brain barrier are only a few examples of their functional diversity. For this reason, bioinformaticians are constantly developing and upgrading models to predict their activity
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.