ReviewFrontiers in cellular and infection microbiology2022
Biological Membrane-Penetrating Peptides: Computational Prediction and Applications.
Review in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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.
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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
19 citing papers in PubMed.
- Cyclotides from Plants Driving the Next Generation of Antibacterial Agents.Antibiotics (Basel, Switzerland) · 2026Review
- INBAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Understanding cell-penetrating peptide mechanisms using computational electrophysiology simulations.Protein science : a publication of the Protein Society · 2026Article
- Role of Peptides in Skeletal Muscle Wasting: A Scoping Review.Journal of cachexia, sarcopenia and muscle · 2025Article
- Improving the antimicrobial activity of RP9 peptide through theoretical and experimental investigation.Biochemistry and biophysics reports · 2025Article
- Computational Insights into Membrane Disruption by Cell-Penetrating Peptides.Journal of chemical information and modeling · 2025Article
- Designed Cell-Penetrating Peptide Constructs for Inhibition of Pathogenic Protein Self-Assembly.Pharmaceutics · 2024Review
- MolGC: molecular geometry comparator algorithm for bond length mean absolute error computation on molecules.Molecular diversity · 2024Article
- Review
- Structure-aware machine learning strategies for antimicrobial peptide discovery.Scientific reports · 2024Article
- Scoping Pleiotropy of CK2 in Musculoskeletal Disorders for a Novel Targeting Approach.Kinases and phosphatases · 2024Article
- Advances in peptide-based drug delivery systems.Heliyon · 2024Review
- Cell-Penetrating Milk-Derived Peptides with a Non-Inflammatory Profile.Molecules (Basel, Switzerland) · 2023Article
- Molecular Dynamics Simulations of Drug-Conjugated Cell-Penetrating Peptides.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Effects of C-Terminal Lys-Arg Residue of AapA1 Protein on Toxicity and Structural Mechanism.Toxins · 2023Article
- Antimicrobial and Cell-Penetrating Peptides: Understanding Penetration for the Design of Novel Conjugate Antibiotics.Antibiotics (Basel, Switzerland) · 2022Review
- Peptide Shuttles for Blood-Brain Barrier Drug Delivery.Pharmaceutics · 2022Review
- Start Me Up: How Can Surrounding Gangliosides Affect Sodium-Potassium ATPase Activity and Steer towards Pathological Ion Imbalance in Neurons?Biomedicines · 2022Review
- Is It Possible to Find an Antimicrobial Peptide That Passes the Membrane Bilayer with Minimal Force Resistance? An Attempt at a Predictive Approach by Molecular Dynamics Simulation.International journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Peptides comprise a versatile class of biomolecules that present a unique chemical space with diverse physicochemical and structural properties. Some classes of peptides are able to naturally cross the biological membranes, such as cell membrane and blood-brain barrier (BBB). Cell-penetrating peptides (CPPs) and blood-brain barrier-penetrating peptides (B3PPs) have been explored by the biotechnological and pharmaceutical industries to develop new therapeutic molecules and carrier systems. The computational prediction of peptides' penetration into biological membranes has been emerged as an interesting strategy due to their high throughput and low-cost screening of large chemical libraries. Structure- and sequence-based information of peptides, as well as atomistic biophysical models, have been explored in computer-assisted discovery strategies to classify and identify new structures with pharmacokinetic properties related to the translocation through biomembranes. Computational strategies to predict the permeability into biomembranes include cheminformatic filters, molecular dynamics simulations, artificial intelligence algorithms, and statistical models, and the choice of the most adequate method depends on the purposes of the computational investigation. Here, we exhibit and discuss some principles and applications of these computational methods widely used to predict the permeability of peptides into biomembranes, exhibiting some of their pharmaceutical and biotechnological applications.
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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.