Results 61 to 70 of about 15,472 (293)

Dendrimer-RNA nanoparticles generate protective immunity against lethal Ebola, H1N1 influenza, and [PDF]

, 2018
Vaccines have had broad medical impact, but existing vaccine technologies and production methods are limited in their ability to respond rapidly to evolving and emerging pathogens, or sudden outbreaks.
Anderson, Daniel Griffith, Bavari, Sina, Chahal, Jasdave S., Cooper, Christopher L., Khan, Omar Fizal, Langer, Robert S, Lourido, Sebastian, McPartlan, Justine S., Ploegh, Hidde L., Sidik, Saima M., Tilley, Lucas D., Tsosie, Jonathan   +11 more
core   +1 more source

Lipid Nanoparticles for the Delivery of CRISPR/Cas9 Machinery to Enable Site‐Specific Integration of CFTR and Mutation‐Agnostic Disease Rescue

Advanced Functional Materials, EarlyView.
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley, Paul G. Ayoub, Vrishti Sinha, Colin Juett, Alicia Sanoyca, Emily C. Duggan, Lindsay E. Lathrop, Priyanka Bhatt, Kevin Coote, Beate Illek, Brigitte N. Gomperts, Donald B. Kohn, Steven J. Jonas   +12 more
wiley   +1 more source

Artificial intelligence-driven rational design of ionizable lipids for mRNA delivery

Nature Communications
Lipid nanoparticles (LNPs) have proven effective in mRNA delivery, as evidenced by COVID-19 vaccines. Its key ingredient, ionizable lipids, is traditionally optimized by inefficient and costly experimental screening.
Wei Wang, Kepan Chen, Ting Jiang, Yiyang Wu, Zheng Wu, Hang Ying, Hang Yu, Jing Lu, Jinzhong Lin, Defang Ouyang   +9 more
doaj   +1 more source

Electrostatic Repulsion of Positively Charged Vesicles and Negatively Charged Objects [PDF]

, 1999
A positively charged, mixed bilayer vesicle in the presence of negatively charged surfaces (for example, colloidal particles) can spontaneously partition into an adhesion zone of definite area, and another zone that repels additional negative objects ...
Aranda-Espinoza, Helim, Chen, Yi, Dan, Nily, Lubensky, TC, Nelson, Philip, Ramos, Laurence, Weitz, DA   +6 more
core   +6 more sources

Unsaturated, Trialkyl Ionizable Lipids are Versatile Lipid‐Nanoparticle Components for Therapeutic and Vaccine Applications

Advanced Materials, 2023
Lipid nanoparticles (LNPs) have proven a successful platform for the delivery of nucleic acid (NA)-based therapeutics and vaccines, with the ionizable lipid component playing a key role in modulating potency and tolerability. Here, a library of 16 novel ionizable lipids is screened hypothesizing that short, branched trialkyl hydrophobic domains can ...
Kieu Lam, Ada Leung, Alan Martin, Mark Wood, Petra Schreiner, Lorne Palmer, Owen Daly, Wenchen Zhao, Kevin McClintock, James Heyes   +9 more
openaire   +2 more sources

Combinatorial Synthesis of Next Generation Water‐Soluble Quaternized N‐Halamine Oligomers with Long‐Lasting Antiviral Properties

Advanced Functional Materials, EarlyView.
A combinatorial library of dual‐functional antiviral oligomers incorporating N‐halamine and quaternary ammonium functionalities is developed for long‐lasting antiviral activity. The lead materials exhibit rapid and durable antiviral activity against SARS‐CoV‐2 variants and influenza H1N1, with 4 to 5 log reduction in viral copies at 5 mg mL−1 ...
Eid Nassar‐Marjiya, Konda Reddy Kunduru, Krishanu Ghosal, Luna Rizik, Nofar Atari, Mahran Daifa, Neta Kutner, Bassma Khamaisi, Qi Wu, Simran Jindal, Merna Shaheen‐Mualim, Ranabir Majumder, Mahitosh Mandal, Michal Mandelboim, Shady Farah   +14 more
wiley   +1 more source

Machine learning techniques for lipid nanoparticle formulation

Nano Convergence
A significant amount of effort has been poured into optimizing the delivery system that is demanded by novel therapeutic modalities. Lipid nanoparticle presents as a solution to transfect cells safely and efficiently with nucleic acid-based therapeutics.
Hao Li, Yayi Zhao, Chenjie Xu
doaj   +1 more source

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

Driving forces in the assembly of lipid nanoparticles containing mRNA revealed by molecular dynamics simulations at acidic and physiological pH

Scientific Reports
This study utilized all-atom molecular dynamics (MD) simulations to investigate the interactions and driving forces involved in the formation of mRNA-containing lipid nanoparticles (LNPs) at acidic pH (4.5) and physiological pH.
Ari Hardianto, Regaputra Satria Janitra, Wahyu Widayat, Muhammad Yusuf, Neni Nurainy, Toto Subroto   +5 more
doaj   +1 more source

Molecular Factors Influencing Retention on Immobilized Artificial Membranes (IAM) Compared to Partitioning in Liposomes and n -Octanol [PDF]

, 2018
Purpose. To assess the effect of molecular factors influencing retention on immobilized artificial membrane (IAM) high-performance liquid chromatography columns compared to liposomal partitioning and traditional n-octanol/water partition coefficients ...
Caron, Giulia, Carrupt, Pierre-Alain, Fruttero, Roberta, Martinet, Catherine, Reist, Marianne, Taillardat-Bertschinger, Agnes, Testa, Bernard   +6 more
core