Results 101 to 110 of about 228,098 (300)

Strategies for Loading and Releasing Peptide Therapeutics in Biodegradable Carriers

open access: yesAdvanced Functional Materials, EarlyView.
A biodegradable carrier‐based peptide delivery system is a powerful treatment platform for diverse diseases, owing to its superior therapeutic efficacy and low toxicity. This review examines the conventional peptide‐loaded carrier fabrication process and its current limitations.
Wookyoung Jang, Ki Wan Bong
wiley   +1 more source

Translational Considerations for Injectable Biomaterials and Bioscaffolds to Repair and Regenerate Brain Tissue

open access: yesAdvanced Healthcare Materials, EarlyView.
The repair and regeneration of brain tissue faces both biological and technical challenges. Injectable bioscaffolds offer new opportunities to stimulate tissue regrowth in the brain by recruiting neural stem cells. Here, the translational issues are reviewed that need to be address to advance this promising new therapeutic approach from the bench to ...
Michel Modo, Alena Kisel
wiley   +1 more source

PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning

open access: yesmAbs
Selection of lead therapeutic molecules is often driven predominantly by pharmacological efficacy and safety. Candidate developability, such as biophysical properties that affect the formulation of the molecule into a product, is usually evaluated only ...
Bian Li   +9 more
doaj   +1 more source

In silico prediction of [PDF]

open access: yesVeterinary Research, 2014
Ragnhild J Bager   +9 more
openaire   +1 more source

Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling

open access: yesAdvanced Healthcare Materials, EarlyView.
Emerging advances in three‐dimensional bioprinting and computational modeling are reshaping cardiovascular (CV) research by enabling more realistic, patient‐specific tissue platforms. This review surveys cutting‐edge approaches that merge biomimetic CV constructs with computational simulations to overcome the limitations of traditional models, improve ...
Tanmay Mukherjee   +7 more
wiley   +1 more source

Differential effects on neurodevelopment of FTO variants in obesity and bipolar disorder suggested by in silico prediction of functional impact: An analysis in Mexican population

open access: yesBrain and Behavior, 2019
Introduction Several studies indicate that polygenic obesity is linked to fat‐mass and obesity‐associated (FTO) genetic variants. Nevertheless, the link between variants in FTO and mental disorders has been barely explored.
Erasmo Saucedo‐Uribe   +11 more
doaj   +1 more source

In silico Prediction, in vitro Antibacterial Spectrum, and Physicochemical Properties of a Putative Bacteriocin Produced by Lactobacillus rhamnosus Strain L156.4

open access: yesFrontiers in Microbiology, 2017
A bacteriocinogenic Lactobacillus rhamnosus L156.4 strain isolated from the feces of NIH mice was identified by 16S rRNA gene sequencing and MALDI-TOF mass spectrometry.
Letícia de C. Oliveira   +8 more
doaj   +1 more source

Understanding the Effects of Conductive Polymer Electrode Coating on Recorded Neural Signals

open access: yesAdvanced Healthcare Materials, EarlyView.
Conductive polymer coatings are widely explored to improve the quality of signals recorded with chronically implanted neural electrodes, offering enhanced biocompatibility along with reduced electrode impedance. Combining computational modelling and data from PEDOT:PTS coated and PtIr electrodes in rats, we show that improvements in signal quality with
Karthik Sridhar   +4 more
wiley   +1 more source

Combining Results from Distinct MicroRNA Target Prediction Tools Enhances the Performance of Analyses

open access: yesFrontiers in Genetics, 2017
Target prediction is generally the first step toward recognition of bona fide microRNA (miRNA)-target interactions in living cells. Several target prediction tools are now available, which use distinct criteria and stringency to provide the best set of ...
Arthur C. Oliveira   +5 more
doaj   +1 more source

Correlation-Compressed Direct Coupling Analysis

open access: yes, 2017
Learning Ising or Potts models from data has become an important topic in statistical physics and computational biology, with applications to predictions of structural contacts in proteins and other areas of biological data analysis.
Aurell, Erik   +2 more
core   +1 more source

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