Results 241 to 250 of about 2,785,119 (387)

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

High-throughput identification of immunoreactive peptides and corresponding proteins from <i>Anaplasma platys</i> and <i>Ehrlichia canis</i> using peptide microarray chips. [PDF]

Front Cell Infect Microbiol
Llanes A, Madesh S, Brangulis K, Rajeev S.   +3 more
europepmc   +1 more source

Bioactive food derived peptides: a review on correlation between structure of bioactive peptides and their functional properties

Journal of food science and technology, 2019
Z. Karami, B. Akbari‐adergani
semanticscholar   +1 more source

Antiproliferative effect of peptide fractions isolated from a quality protein maize, a white hybrid maize, and their derived peptides on hepatocarcinoma human HepG2 cells

, 2017
Margarita Ortiz‐Martínez, Elvira González de Mejı́a, Silverio García‐Lara, Oscar Aguilar, Laura Margarita López-Castillo, José T. Otero-Pappatheodorou   +5 more
openalex   +2 more sources

Development of cationic peptide-based hydrogels loaded with iopamidol for CEST-MRI detection

, 2023
Enza Di Gregorio, Elisabetta Rosa, Giuseppe Ferrauto, Carlo Diaferia, Enrico Gallo, Antonella Accardo, Enzo Terreno   +6 more
openalex   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Extraction of pH-Dependent DNA-Binding Anti-Tumoral Peptides from <i>Saccharomyces cerevisiae</i>. [PDF]

Pharmaceuticals (Basel)
Ragonese F, Mancinelli L.
europepmc   +1 more source

Serial measurement of N-terminal pro–B-type natriuretic peptide and cardiac troponin T for cardiovascular disease risk assessment in the Multi-Ethnic Study of Atherosclerosis (MESA)

, 2015
Lori B. Daniels, Paul Clopton, Christopher R. deFilippi, Otto A. Sánchez, Hossein Bahrami, João A.C. Lima, Russell P. Tracy, David Siscovick, Alain G. Bertoni, Philip Greenland, Mary Cushman, Alan S. Maisel, Michael H. Criqui   +12 more
openalex   +1 more source

RNA folding studies inside peptide-rich droplets reveal roles of modified nucleosides at the origin of life

, 2023
McCauley O. Meyer, Ryota Yamagami, Saehyun Choi, Christine D. Keating, Philip C. Bevilacqua   +4 more
openalex   +1 more source

pH‐Tunable Material Properties of Glycine‐Rich Condensates from Tick Bioadhesive

Advanced Functional Materials, EarlyView.
This work studies the influence of pH on the phase separation behavior of a disordered glycine‐rich protein found in tick bioadhesive. The results show profound impact on the propensity of coacervation, condensate microstructure and viscosity, amphiphilicity of the peptides, and effective encapsulation of therapeutic molecules.
Manali Nandy, Udit Ghosh, Ketan A. Ganar, Hans Ippel, Ingrid Dijkgraaf, Siddharth Deshpande   +5 more
wiley   +1 more source