AIMC Topic: Cell-Penetrating Peptides

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CPPCGM: A Highly Efficient Sequence-Based Tool for Simultaneously Identifying and Generating Cell-Penetrating Peptides.

Journal of chemical information and modeling Mar 19, 2025
Cell-penetrating peptides (CPPs) are usually short oligopeptides with 5-30 amino acid residues. CPPs have been proven as important drug delivery vehicles into cells through different mechanisms, demonstrating their potential as therapeutic candidates...
Cell-Penetrating Peptides Deep Learning Humans Amino Acid Sequence
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Strategies for the design of biomimetic cell-penetrating peptides using AI-driven in silico tools for drug delivery.

Biomaterials advances Dec 16, 2024
Cell-penetrating peptides (CPP) have gained rapid attention over the last 25 years; this is attributed to their versatility, customisation, and 'Trojan horse' delivery that evades the immune system. However, the current CPP rational design process is...
Machine Learning Computer Simulation Humans Artificial Intelligence Cell-Penetrating Peptides Drug Design Drug Delivery Systems Biomimetic Materials Animals
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GraphCPP: The new state-of-the-art method for cell-penetrating peptide prediction via graph neural networks.

British journal of pharmacology Nov 20, 2024
BACKGROUND AND PURPOSE: Cell-penetrating peptides (CPPs) are short amino acid sequences that can penetrate cell membranes and deliver molecules into cells. Several models have been developed for their discovery, yet these models often face challenges...
Neural Networks, Computer Cell-Penetrating Peptides Humans
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DeepBP: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN.

Journal of advanced research Aug 5, 2024
INTRODUCTION: The blood-brain barrier (BBB) serves as a critical structural barrier and impedes the entry of most neurotherapeutic drugs into the brain. This poses substantial challenges for central nervous system (CNS) drug development, as there is ...
Computational Biology Blood-Brain Barrier Humans Peptides Cell-Penetrating Peptides Drug Delivery Systems Deep Learning
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A high hydrophobic moment arginine-rich peptide screened by a machine learning algorithm enhanced ADC antitumor activity.

Journal of peptide science : an official publication of the European Peptide Society Jul 1, 2024
Cell-penetrating peptides (CPPs) with better biomolecule delivery properties will expand their clinical applications. Using the MLCPP2.0 machine algorithm, we screened multiple candidate sequences with potential cellular uptake ability from the nucle...
Immunoconjugates Receptor, ErbB-2 Trastuzumab Arginine Cell-Penetrating Peptides Cell Line, Tumor Hydrophobic and Hydrophilic Interactions Machine Learning Antineoplastic Agents Humans
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TriplEP-CPP: Algorithm for Predicting the Properties of Peptide Sequences.

International journal of molecular sciences Jun 22, 2024
Advancements in medicine and pharmacology have led to the development of systems that deliver biologically active molecules inside cells, increasing drug concentrations at target sites. This improves effectiveness and duration of action and reduces s...
Amino Acid Sequence Humans Cell-Penetrating Peptides Animals Machine Learning Wasp Venoms Proteome Algorithms
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Investigating molecular descriptors in cell-penetrating peptides prediction with deep learning: Employing N, O, and hydrophobicity according to the Eisenberg scale.

PloS one Jun 13, 2024
Cell-penetrating peptides comprise a group of molecules that can naturally cross the lipid bilayer membrane that protects cells, sharing physicochemical and structural properties, and having several pharmaceutical applications, particularly in drug d...
Nitrogen Hydrophobic and Hydrophilic Interactions Deep Learning Cell-Penetrating Peptides Neural Networks, Computer Oxygen
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In Silico Screening and Optimization of Cell-Penetrating Peptides Using Deep Learning Methods.

Biomolecules Mar 13, 2023
Cell-penetrating peptides (CPPs) have great potential to deliver bioactive agents into cells. Although there have been many recent advances in CPP-related research, it is still important to develop more efficient CPPs. The development of CPPs by in s...
Amino Acid Sequence Cell-Penetrating Peptides Protein Transport Humans Deep Learning
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DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies.

IEEE/ACM transactions on computational biology and bioinformatics Oct 10, 2022
Cell-penetrating peptides (CPPs) are special peptides capable of carrying a variety of bioactive molecules, such as genetic materials, short interfering RNAs and nanoparticles, into cells. Recently, research on CPP has gained substantial interest fro...
Amino Acid Sequence Machine Learning Cell-Penetrating Peptides Deep Learning Computational Biology
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MLCPP 2.0: An Updated Cell-penetrating Peptides and Their Uptake Efficiency Predictor.

Journal of molecular biology Apr 28, 2022
Cell-penetrating peptides (CPPs) translocate into the cell as various biologically active conjugates and possess numerous biomedical applications. Several machine learning-based predictors have been proposed in the past, but they mostly focus on iden...
Protein Transport Algorithms Cell-Penetrating Peptides Internet Use Machine Learning Computational Biology Software
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