ArticlePharmaceutics2021
B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood-Brain Barrier Penetrating Peptides.
Article in Pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 69 citations in OpenAlex.
- INBAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- IQSPred-PLM: An Interpretable Quorum Sensing Peptides Prediction Model Based on Protein Language Model.Interdisciplinary sciences, computational life sciences · 2026Article
- Prediction of blood-brain barrier-penetrating peptides using B3BPFN.Frontiers in molecular biosciences · 2026Article
- DeepBBMC biology · 2025Article
- DeepBJournal of advanced research · 2025Article
- Machine Learning in Drug Development for Neurological Diseases: A Review of Blood Brain Barrier Permeability Prediction Models.Molecular informatics · 2025Review
- Prediction of inhibitory peptides against E.coli with desired MIC value.Scientific reports · 2025Article
- Computational Modeling of Pharmaceuticals with an Emphasis on Crossing the Blood-Brain Barrier.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025Review
- Device-assisted strategies for drug delivery across the blood-brain barrier to treat glioblastoma.Communications materials · 2025Review
- AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules.Pharmaceuticals (Basel, Switzerland) · 2024Article
- 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
- A hybrid method for discovering interferon-gamma inducing peptides in human and mouse.Scientific reports · 2024Article
- Alzheimer's Disease Immunotherapy and Mimetic Peptide Design for Drug Development: Mutation Screening, Molecular Dynamics, and a Quantum Biochemistry Approach Focusing on Aducanumab::Aβ2-7 Binding Affinity.ACS chemical neuroscience · 2024Article
- Prediction of blood-brain barrier penetrating peptides based on data augmentation with Augur.BMC biology · 2024Article
- Virtual Screening of Peptide Libraries: The Search for Peptide-Based Therapeutics Using Computational Tools.International journal of molecular sciences · 2024Review
- 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
- Polypharmacological Cell-Penetrating Peptides from Venomous Marine Animals Based on Immunomodulating, Antimicrobial, and Anticancer Properties.Marine drugs · 2022Article
- Peptide Shuttles for Blood-Brain Barrier Drug Delivery.Pharmaceutics · 2022Review
- BBPpredict: A Web Service for Identifying Blood-Brain Barrier Penetrating Peptides.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The blood-brain barrier is a major obstacle in treating brain-related disorders, as it does not allow the delivery of drugs into the brain. We developed a method for predicting blood-brain barrier penetrating peptides to facilitate drug delivery into the brain. These blood-brain barrier penetrating peptides (B3PPs) can act as therapeutics, as well as drug delivery agents. We trained, tested, and evaluated our models on blood-brain barrier peptides obtained from the B3Pdb database. First, we computed a wide range of peptide features. Then, we selected relevant peptide features. Finally, we developed numerous machine-learning-based models for predicting blood-brain barrier peptides using the selected features. The random-forest-based model performed the best with respect to the top 80 selected features and achieved a maximal 85.08% accuracy with an AUROC of 0.93. We also developed a webserver, B3pred, that implements our best models. It has three major modules that allow users to predict/design B3PPs and scan B3PPs in a protein sequence.
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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.