ArticleFrontiers in genetics2022
BBPpredict: A Web Service for Identifying Blood-Brain Barrier Penetrating Peptides.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Molecular determinants for brain targeting by peptides: a meta-analysis approach with experimental validation.Fluids and barriers of the CNS · 2024Pooled it
- INBAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Artificial intelligence revolutionizing CNS drug discovery and development.Drug discovery today · 2026Review
- Brain peptides in Alzheimer's disease - pathophysiology and therapeutic advances.Cell and tissue research · 2026Review
- IQSPred-PLM: An Interpretable Quorum Sensing Peptides Prediction Model Based on Protein Language Model.Interdisciplinary sciences, computational life sciences · 2026Article
- Oligodendrocyte: Development, Plasticity, Biological Functions, Diseases, and Therapeutic Targets.MedComm · 2026Review
- Prediction of blood-brain barrier-penetrating peptides using B3BPFN.Frontiers in molecular biosciences · 2026Article
- Rational discovery of peptide inhibitors targeting Keap1: a focus on neurodegenerative diseases.Frontiers in bioinformatics · 2026Article
- DeepBBMC biology · 2025Article
- Crossing Barriers: Advancements in Macromolecular Therapeutics for Neurodegenerative Diseases and Strategies to Overcome the Blood-Brain Barrier.ACS pharmacology & translational science · 2025Review
- Effect of bovine milk-derived peptide on SNAP-25 of the neurotransmitter system in treating the sialorrhoea in chronic neurological diseases.Food science and biotechnology · 2025Article
- DeepBJournal of advanced research · 2025Article
- Peptide Family Promotes Brain Cell Rejuvenation and Improved Cognition through Peripheral Delivery.ACS omega · 2025Article
- Prodrug Approach as a Strategy to Enhance Drug Permeability.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Can artificial intelligence uncover the bioactive peptides' benefits for human health and knowledge? A narrative review.Frontiers in nutrition · 2025Review
- ESM-BBB-Pred: a fine-tuned ESM 2.0 and deep neural networks for the identification of blood-brain barrier peptides.Briefings in bioinformatics · 2024Article
- BBB-PEP-prediction: improved computational model for identification of blood-brain barrier peptides using blending position relative composition specific features and ensemble modeling.Journal of cheminformatics · 2023Article
- Aggregation Limiting Cell-Penetrating Peptides Derived from Protein Signal Sequences.International journal of molecular sciences · 2023Article
- Crotalphine Modulates Microglia M1/M2 Phenotypes and Induces Spinal Analgesia Mediated by Opioid-Cannabinoid Systems.International journal of molecular sciences · 2022Article
- Peptide Shuttles for Blood-Brain Barrier Drug Delivery.Pharmaceutics · 2022Review
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Blood-brain barrier (BBB) is a major barrier to drug delivery into the brain in the treatment of central nervous system (CNS) diseases. Blood-brain barrier penetrating peptides (BBPs), a class of peptides that can cross BBB through various mechanisms without damaging BBB, are effective drug candidates for CNS diseases. However, identification of BBPs by experimental methods is time-consuming and laborious. To discover more BBPs as drugs for CNS disease, it is urgent to develop computational methods that can quickly and accurately identify BBPs and non-BBPs. In the present study, we created a training dataset that consists of 326 BBPs derived from previous databases and published manuscripts and 326 non-BBPs collected from UniProt, to construct a BBP predictor based on sequence information. We also constructed an independent testing dataset with 99 BBPs and 99 non-BBPs. Multiple machine learning methods were compared based on the training dataset via a nested cross-validation. The final BBP predictor was constructed based on the training dataset and the results showed that random forest (RF) method outperformed other classification algorithms on the training and independent testing dataset. Compared with previous BBP prediction tools, the RF-based predictor, named BBPpredict, performs considerably better than state-of-the-art BBP predictors. BBPpredict is expected to contribute to the discovery of novel BBPs, or at least can be a useful complement to the existing methods in this area. BBPpredict is freely available at http://i.uestc.edu.cn/BBPpredict/cgi-bin/BBPpredict.pl.
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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.