Results 201 to 210 of about 645,880 (357)

Dynamic Combinatorial Chemistry [PDF]

, 2006
Corbett, Peter T.,, Leclaire, Julien,, Otto, Sijbren,, Sanders, Jeremy K.M.,, Vial, Laurent,, West, Kevin R.,, Wietor, Jean-Luc,   +6 more
core   +1 more source

Cheminformatics Tools for Analyzing and Designing Optimized Small-Molecule Collections and Libraries.

Cell Chemical Biology, 2019
Nienke Moret, Nicholas A. Clark, M. Hafner, Y. Wang, Eugen Lounkine, M. Medvedovic, Jinhua Wang, N. Gray, J. Jenkins, P. Sorger   +9 more
semanticscholar   +1 more source

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

Advanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen, Sabah Kasmi, Shrinivas Dumbre, Lies Baekens, Elise Seynaeve, Louise Van den Hauwe, Niccolò Cantini, Aello Garantoudi, Filipe Branco Madeira, Alain Marrot, Emma Tuypens, Sofie Seghers, Anna Kuchmiy, Elisabeth Brabants, Bart Vanderborght, Ine Maes, Sarah Vandenberghe, Jessica Filtjens, Alícia Gordún Peiró, Daliya Kancheva, Ayla Debraekeleer, Florence Lambolez, Emily De Lombaerde, Yong Chen, Rafael Miyazawa Martins, Pauline Formaglio, Damya Laoui, Sofie Deschoemaeker, Bruno G. De Geest, Rogerio Amino, Stefaan De Koker   +30 more
wiley   +1 more source

Study of complex RNA function modulated by small molecules: the development of RNA directed small molecule library and probing the S-adenosyl methionine discrimination between on and off conformational states of the SAM-I riboswitch

, 2011
Vamsi Boyapati, Vamsi Boyapati
openalex   +2 more sources

Emergence of Light‐Transforming Layered Hybrid Halide Perovskites

Advanced Functional Materials, EarlyView.
The emerging class of light‐transforming layered halide perovskite materials is reviewed, outlining challenges for their development and perspectives toward application in the future. Abstract Layered hybrid halide perovskites (LHPs) have attracted considerable attention in optoelectronics.
Ghewa AlSabeh, Jovana V. Milić
wiley   +1 more source

Unveiling Phonon Contributions to Thermal Conductivity and the Applicability of the Wiedemann—Franz Law in Ruthenium and Tungsten Thin Films

Advanced Functional Materials, EarlyView.
Thermal transport in Ru and W thin films is studied using steady‐state thermoreflectance, ultrafast pump–probe spectroscopy, infrared‐visible spectroscopy, and computations. Significant Lorenz number deviations reveal strong phonon contributions, reaching 45% in Ru and 62% in W.
Md. Rafiqul Islam, Pravin Karna, Niraj Bhatt, Sandip Thakur, Helge Heinrich, Daniel M. Hirt, Saman Zare, Christopher Jezewski, Rinus T.P. Lee, Kandabara Tapily, John T. Gaskins, Colin D. Landon, Sean W. King, Ashutosh Giri, Patrick E. Hopkins   +14 more
wiley   +1 more source

Microporous Microgel Assemblies Facilitating the Recruitment and Osteogenic Differentiation of Progenitor Cells for Bone Regeneration

Advanced Functional Materials, EarlyView.
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato, Haishuo Guan, Bianca M. Carrara, Mira Jacobs, Matteo Monticelli, Lukas Moser, Thomas Moragues, Andrew J. deMello, Tomaso Zambelli, Martin Ehrbar   +9 more
wiley   +1 more source

Antiviral compounds discovered by virtual screening of small-molecule libraries against dengue virus E protein.

ACS Chemical Biology, 2008
Zhigang Zhou, Mansoora Khaliq, J. Suk, Chinmay G. Patkar, Long Li, R. Kuhn, C. Post   +6 more
semanticscholar   +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

Detection of small-molecule enzyme inhibitors with peptides isolated from phage-displayed combinatorial peptide libraries [PDF]

, 2000
Robin Hyde‐DeRuyscher, LA Paige, DJ Christensen, N Hyde-DeRuyscher, Amabella Lim, ZL Fredericks, Janice E. Kranz, Paul Gallant, J Zhang, SM Rocklage, DM Fowlkes, PA Wendler, Paul T. Hamilton   +12 more
openalex   +1 more source