AIMC Topic: Cell-Penetrating Peptides

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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...
Cell-Penetrating Peptides Internet Use Computational Biology Protein Transport Software Algorithms Machine Learning
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Biological Membrane-Penetrating Peptides: Computational Prediction and Applications.

Frontiers in cellular and infection microbiology Mar 25, 2022
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 ...
Cell Membrane Algorithms Cell-Penetrating Peptides Biological Transport Artificial Intelligence
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Using molecular dynamics simulations to prioritize and understand AI-generated cell penetrating peptides.

Scientific reports May 20, 2021
Cell-penetrating peptides have important therapeutic applications in drug delivery, but the variety of known cell-penetrating peptides is still limited. With a promise to accelerate peptide development, artificial intelligence (AI) techniques includi...
Artificial Intelligence Reproducibility of Results Humans Amino Acid Sequence HeLa Cells Cell Membrane Cell Survival Molecular Dynamics Simulation Cell-Penetrating Peptides
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G-DipC: An Improved Feature Representation Method for Short Sequences to Predict the Type of Cargo in Cell-Penetrating Peptides.

IEEE/ACM transactions on computational biology and bioinformatics Jul 25, 2019
Cell-penetrating peptides (CPPs) are functional short peptides with high carrying capacity. CPP sequences with targeting functions for the highly efficient delivery of drugs to target cells. In this paper, which is focused on the prediction of the ca...
Cell-Penetrating Peptides Computational Biology Support Vector Machine Models, Statistical Discriminant Analysis Machine Learning Algorithms
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Novel machine learning application for prediction of membrane insertion potential of cell-penetrating peptides.

International journal of pharmaceutics Jun 21, 2019
Cell-penetrating peptides (CPPs) are often used as transporter systems to deliver various therapeutic agents into the cell. We developed a novel machine learning application which can quantitatively screen the insertion/interaction potential of vario...
Cell Membrane Cell-Penetrating Peptides Machine Learning Phospholipids Neural Networks, Computer
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KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.

Journal of proteome research Aug 13, 2018
Cell-penetrating peptides (CPPs) facilitate the transport of pharmacologically active molecules, such as plasmid DNA, short interfering RNA, nanoparticles, and small peptides. The accurate identification of new and unique CPPs is the initial step to ...
Benchmarking Amino Acid Sequence Datasets as Topic Cell Membrane Permeability Amino Acids Internet Neural Networks, Computer Animals Machine Learning Humans Models, Statistical Software Eukaryotic Cells Cell-Penetrating Peptides Sequence Analysis, Protein
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Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy.

Journal of proteome research Jul 2, 2018
Cell-penetrating peptides (CPPs) can enter cells as a variety of biologically active conjugates and have various biomedical applications. To offset the cost and effort of designing novel CPPs in laboratories, computational methods are necessitated to...
Support Vector Machine Humans Amino Acids Cell-Penetrating Peptides Computational Biology Machine Learning Animals Models, Theoretical Drug Design
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SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.

BMC genomics Oct 16, 2017
BACKGROUND: Cell-penetrating peptides (CPPs) are short peptides (5-30 amino acids) that can enter almost any cell without significant damage. On account of their high delivery efficiency, CPPs are promising candidates for gene therapy and cancer trea...
Amino Acid Sequence Computational Biology Cell-Penetrating Peptides Internet
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PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction.

Bioinformatics (Oxford, England) Feb 1, 2024
MOTIVATION: Effective drug delivery systems are paramount in enhancing pharmaceutical outcomes, particularly through the use of cell-penetrating peptides (CPPs). These peptides are gaining prominence due to their ability to penetrate eukaryotic cells...
Deep Learning Cell-Penetrating Peptides Eukaryotic Cells Software Drug Delivery Systems
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The Development of Machine Learning Methods in Cell-Penetrating Peptides Identification: A Brief Review.

Current drug metabolism Jan 1, 2019
BACKGROUND: Cell-penetrating Peptides (CPPs) are important short peptides that facilitate cellular intake or uptake of various molecules. CPPs can transport drug molecules through the plasma membrane and send these molecules to different cellular org...
Computational Biology Machine Learning Cell-Penetrating Peptides
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