AIMC Topic: Cell-Penetrating Peptides

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A Novel Amino Acid Sequence-based Computational Approach to Predicting Cell-penetrating Peptides.

Current computer-aided drug design Jan 1, 2019
INTRODUCTION: Machine Learning is a useful tool for the prediction of cell-penetration compounds as drug candidates.
Humans Machine Learning Computer Simulation Computational Biology Structure-Activity Relationship Amino Acid Sequence Cell Membrane Permeability Cell-Penetrating Peptides
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Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Cell-penetrating peptides (CPPs) have proven their potential as versatile drug delivery vehicles. Last decade has witnessed an unprecedented growth in CPP-based research, demonstrating the potential of CPPs as therapeutic candidates. In the past, man...
Humans Machine Learning Computer Simulation Animals Computer-Aided Design Support Vector Machine Drug Carriers Proteins Amino Acid Sequence Cell-Penetrating Peptides Molecular Sequence Data Amino Acid Motifs
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