AIMC Topic: Cell Membrane Permeability
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Antibacterial activity and its mechanisms of a recombinant Funme peptide against Cronobacter sakazakii in powdered infant formula.
Food research international (Ottawa, Ont.)
Aug 13, 2018
Cronobacter sakazakii (Cs) is a typical foodborne bacterium that infect powdered infant formula (PIF) worldwide. In this study, a recombinant antimicrobial peptide, branded as Funme peptide (FP)was applied to protect PIF from Cs contamination. The re...
Food Contamination
Biofilms
Food Microbiology
Microbial Sensitivity Tests
Cronobacter sakazakii
Antimicrobial Cationic Peptides
Bacteria
Infant Formula
Humans
Powders
Anti-Bacterial Agents
Food Handling
Ampicillin
Erythrocytes
Infant
Biological Control Agents
Amino Acid Sequence
Cell Membrane Permeability
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 ...
Ultrasound-assisted d-tartaric acid whole-cell bioconversion by recombinant Escherichia coli.
Ultrasonics sonochemistry
Nov 2, 2017
d-Tartaric acid has wide range of application in the pharmaceutical industry and scarcely exists in nature. In this study, cis-epoxysuccinate hydrolase (CESH)-containing Escherichia coli was used to perform whole-cell bioconversion of cis-epoxysuccin...
Effect of pseudolaric acid B on biochemical and physiologic characteristics in Colletotrichum gloeosporioides.
Pesticide biochemistry and physiology
Sep 13, 2017
In our previous study on natural products with fungicidal activity, pseudolaric acid B (PAB) isolated from Pseudolarix amabilis was examined to inhibit significantly mango anthracnose (Colletotrichum gloeosporioides) in vivo and in vitro. In the curr...
Antifungal properties and biocompatibility of silver nanoparticle coatings on silicone maxillofacial prostheses in vitro.
Journal of biomedical materials research. Part B, Applied biomaterials
May 10, 2017
Patients with facial prostheses suffer from yeast, Candida albicans, infections. This study aimed to determine the biocompatibility and antifungal properties of silicone facial prostheses coated with silver nanoparticles (Ag NPs) in vitro. Medical gr...
Highly predictive and interpretable models for PAMPA permeability.
Bioorganic & medicinal chemistry
Dec 31, 2016
Cell membrane permeability is an important determinant for oral absorption and bioavailability of a drug molecule. An in silico model predicting drug permeability is described, which is built based on a large permeability dataset of 7488 compound ent...
Mechanisms of inactivation of Candida humilis and Saccharomyces cerevisiae by pulsed electric fields.
Bioelectrochemistry (Amsterdam, Netherlands)
Dec 30, 2016
AIMS: This study aimed to determine how electric field strength, pulse width and shape, and specific energy input relate to the effect of pulsed electric fields (PEF) on viability and membrane permeabilization in Candida humilis and Saccharomyces cer...
Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach.
IEEE/ACM transactions on computational biology and bioinformatics
Feb 26, 2016
The human colorectal carcinoma cell line (Caco-2) is a commonly used in-vitro test that predicts the absorption potential of orally administered drugs. In-silico prediction methods, based on the Caco-2 assay data, may increase the effectiveness of th...
MuCoCP: a priori chemical knowledge-based multimodal contrastive learning pre-trained neural network for the prediction of cyclic peptide membrane penetration ability.
Bioinformatics (Oxford, England)
Aug 2, 2024
MOTIVATION: There has been a burgeoning interest in cyclic peptide therapeutics due to their various outstanding advantages and strong potential for drug formation. However, it is undoubtedly costly and inefficient to use traditional wet lab methods ...
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.
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