Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Trant, A. (A.)"'
Publikováno v:
Journal of Chemical Information and Modeling. 63:655-669
Autor:
Kwaku Twum, Khai-Nghi Truong, Frank Boateng Osei, Carolina von Essen, Sanaz Nadimi, John F. Trant, Kari Rissanen, Ngong Kodiah Beyeh
Publikováno v:
Crystal Growth & Design. 23:1281-1287
Autor:
Abhinandan Banerjee, William Hosie, Ana Carolina Terso Ventura, Kasra Razmkhah, Joseph Bautista, Afeson Beyene, Justin Binder, John Trant
Background: This paper highlights the formulation of a solid THC-loaded ingestible prepared from pure THC distillate. A THC ethanol-assisted cannabinoid nanoemulsion (EACNE) was created without the need for specialized emulsification equipment such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a44616bff1e2ace9345a1051e9ab5ec
https://doi.org/10.26434/chemrxiv-2023-zdt5s
https://doi.org/10.26434/chemrxiv-2023-zdt5s
Hydrogen is one of the cleanest ways to store energy in a post-fossil fuel economy. However, it can be dangerous as bulk gas and additional methods for hydrogen storage are needed. Physisorption on graphene sheets and nanotubes has been proposed as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5584373650c5309d37e848ef9719e53
https://doi.org/10.26434/chemrxiv-2023-03zwx
https://doi.org/10.26434/chemrxiv-2023-03zwx
CB1, a member of the G protein-coupled receptor class, is the putative protein target of THC, the psychoactive component of cannabis. To better identify new synthetic cannabinoids with increased activity, all cannabinoids with reported experimental b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2dc03c2c539c0c05c341eaf0a182521
https://doi.org/10.26434/chemrxiv-2023-mbr7t
https://doi.org/10.26434/chemrxiv-2023-mbr7t
Peptide-based therapeutics are increasingly coming to the forefront of biomedicine with their promise of high specificity and low toxicity. Although noncanonical residues can always be used, employing only the natural 20 residues restricts the chemic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bdd8f4d252a48d083b81aa86089ae5e
https://doi.org/10.26434/chemrxiv-2023-x3pbc
https://doi.org/10.26434/chemrxiv-2023-x3pbc
A vital component in the fight against climate change is the development of highly efficient energy storage for renewable resources. The aluminum ion battery (AIB) is a promising technology, but there is a lack of understanding of the desired nature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd9698861c1353504ba19981a3e9406c
https://doi.org/10.26434/chemrxiv-2022-fz69r
https://doi.org/10.26434/chemrxiv-2022-fz69r
Mono and (bis)benzimidazoliums were evaluated both experimentally and computationally for their potential as pseudopolyrotaxane axle building blocks. Their aggregation and photophysical behavior, along with their potential to form a [2]pseudorotaxane
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4edf6f86948139f684065651788957e1
https://doi.org/10.26434/chemrxiv-2021-tm4gl-v3
https://doi.org/10.26434/chemrxiv-2021-tm4gl-v3
6-alkoxy-2-aminopurine derivatives are potent inhibitors of Cyclin Dependent Kinases (CDKs), with some selectivity towards CDK2 and thus have potential as cancer therapeutics. Development of these inhibitors for targeting CDK2-cyclin A/E complexes ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebb81bb27b128331d4889086461edb20
https://doi.org/10.26434/chemrxiv-2022-zsk82
https://doi.org/10.26434/chemrxiv-2022-zsk82
Autor:
Daniele Scopece, Hans J. Hug, Maciej Oskar Liedke, Maik Butterling, Carlo A. Pignedoli, Piero Gasparotto, Maria Fischer, Mathis Trant, Andreas Wagner, Daniele Passerone, Oguz Yildirim
Publikováno v:
ACS Applied Materials & Interfaces. 13:5762-5771
Machine learning is changing how we design and interpret experiments in materials science. In this work, we show how unsupervised learning, combined with ab initio random structure searching, improves our understanding of structural metastability in