Zobrazeno 1 - 10
of 2 858
pro vyhledávání: '"Binding affinities"'
Autor:
Laura Marie Grimm, Yichuan Wang, Amrutha Prabodh, Emma Barilli, Sebastian Spicher, Zahid Hassan, Stefan Grimme, Stefan Bräse, Frank Biedermann
Publikováno v:
ChemistryEurope, Vol 2, Iss 3-4, Pp n/a-n/a (2024)
Abstract In supramolecular chemistry, the pursuit of highly efficient molecular recognition systems holds paramount significance. This study introduces new [2.2]paracyclophanes (PCP) as exceptional guest molecules for cucurbit[8]uril (CB8). This well
Externí odkaz:
https://doaj.org/article/34ed1eb4312842dcbdff8b33a954bbbf
Publikováno v:
Small Science, Vol 4, Iss 5, Pp n/a-n/a (2024)
Sorting single‐walled carbon nanotubes (SWNTs) that are heterogeneous into homogeneous groups based on their electronic type, chirality, and handedness is crucial for optoelectronic and biological applications. To achieve this, researchers have uti
Externí odkaz:
https://doaj.org/article/8ba1146dcc7d41d78684b32d8cfba883
Publikováno v:
Al-Mustansiriyah Journal of Pharmaceutical Sciences, Vol 24, Iss 2 (2024)
This study involved the development of innovative compounds consisting of dipeptide cross-links combined with hydroxamic acid. Our objective was to assess their binding affinities with histone deacetylase 8 (HDAC8) by conducting a docking study, comp
Externí odkaz:
https://doaj.org/article/533227a841d44413be19c7f280b35531
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-16 (2023)
Abstract Background Protein-DNA binding sites of ChIP-seq experiments are identified where the binding affinity is significant based on a given threshold. The choice of the threshold is a trade-off between conservative region identification and disca
Externí odkaz:
https://doaj.org/article/db72d14d4072451c809dd9c79b36c411
Autor:
Pierre-Yves Libouban, Samia Aci-Sèche, Jose Carlos Gómez-Tamayo, Gary Tresadern, Pascal Bonnet
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 22, p 16120 (2023)
Artificial intelligence (AI) has gained significant traction in the field of drug discovery, with deep learning (DL) algorithms playing a crucial role in predicting protein–ligand binding affinities. Despite advancements in neural network architect
Externí odkaz:
https://doaj.org/article/f3d56469ab544a8f963c1c2a2b91879a
Akademický článek
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Publikováno v:
Frontiers in Chemistry, Vol 10 (2022)
Prostate cancer is one of the malignant tumors and the second most common malignant tumor in men. Clinically used androgen receptor (AR)–targeted drugs can antagonize androgen and inhibit tumor growth, but these drugs can cause serious resistance p
Externí odkaz:
https://doaj.org/article/da680580f01341b6a294f1ebb1650049
Autor:
Adeola Tawakalitu Kola-Mustapha, Muhabat Adeola Raji, Oluwakorede Adedeji, George Oche Ambrose
Publikováno v:
Molecules, Vol 28, Iss 6, p 2849 (2023)
Acne vulgaris is a common skin disorder with a complicated etiology. Papules, lesions, comedones, blackheads, and other skin lesions are common physical manifestations of Acne vulgaris, but the individual who has it also regularly has psychological r
Externí odkaz:
https://doaj.org/article/5c4603ff84b447ae92ac52d7f91106d9
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 4, p 3464 (2023)
Natural enemies such as parasitoids and parasites depend on sensitive olfactory to search for their specific hosts. Herbivore-induced plant volatiles (HIPVs) are vital components in providing host information for many natural enemies of herbivores. H
Externí odkaz:
https://doaj.org/article/ca86e947b32746c0980926331fa2d353
Akademický článek
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