Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Knut, Baumann"'
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-16 (2023)
Abstract It is insightful to report an estimator that describes how certain a model is in a prediction, additionally to the prediction alone. For regression tasks, most approaches implement a variation of the ensemble method, apart from few exception
Externí odkaz:
https://doaj.org/article/d214619339c64924bb226ee92fa0faac
Publikováno v:
ACS Omega, Vol 3, Iss 5, Pp 5704-5714 (2018)
Externí odkaz:
https://doaj.org/article/702f00a2c93544ffbba0ba0521c5db61
Autor:
Thomas-Martin Dutschmann, Knut Baumann
Publikováno v:
Molecules, Vol 26, Iss 21, p 6514 (2021)
Uncertainty measures estimate the reliability of a predictive model. Especially in the field of molecular property prediction as part of drug design, model reliability is crucial. Besides other techniques, Random Forests have a long tradition in mach
Externí odkaz:
https://doaj.org/article/d15d70fe033b45f9aeceb06f4d3b08ee
Publikováno v:
Journal of Cheminformatics, Vol 9, Iss 1, Pp 1-17 (2017)
Abstract The goal of defining an applicability domain for a predictive classification model is to identify the region in chemical space where the model’s predictions are reliable. The boundary of the applicability domain is defined with the help of
Externí odkaz:
https://doaj.org/article/5ee9fb92b3e141c986510c106c77ee44
Publikováno v:
Molecules, Vol 26, Iss 5, p 1469 (2021)
In this study, the general processability of cannabidiol (CBD) in colloidal lipid carriers was investigated. Due to its many pharmacological effects, the pharmaceutical use of this poorly water-soluble drug is currently under intensive research and c
Externí odkaz:
https://doaj.org/article/9ff8bbd6daa74537be3bdaa00382f0e9
Publikováno v:
Molecules 2021, 26(5), 1469; https://doi.org/10.3390/molecules26051469--Molecules annual : CD-ROM and print archive edition of Molecules, journal of synthetic organic and natural product chemistry--1431-5157--1420-3049
Molecules
Volume 26
Issue 5
Molecules, Vol 26, Iss 1469, p 1469 (2021)
Molecules
Volume 26
Issue 5
Molecules, Vol 26, Iss 1469, p 1469 (2021)
In this study, the general processability of cannabidiol (CBD) in colloidal lipid carriers was investigated. Due to its many pharmacological effects, the pharmaceutical use of this poorly water-soluble drug is currently under intensive research and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::725135f2f7c1da9eb64f1e750147218a
http://publikationsserver.tu-braunschweig.de/get/69421
http://publikationsserver.tu-braunschweig.de/get/69421
Autor:
Frederic Schneider, Alexandros Repanas, Knut Baumann, Andreas Dietzel, Heike Bunjes, Arno Kwade, Thomas Lorenz, Jan H. Finke, Katrin Göke, Denise Steiner, Birgit Glasmacher
Publikováno v:
European Journal of Pharmaceutics and Biopharmaceutics. 126:40-56
Low aqueous solubility of active pharmaceutical ingredients presents a serious challenge in the development process of new drug products. This article provides an overview on some of the current approaches for the formulation of poorly water-soluble
Publikováno v:
Journal of Chemical Information and Modeling. 58:165-181
A novel alignment-free molecular descriptor called xMaP (flexible MaP descriptor) is introduced. The descriptor is the advancement of the previously published translationally and rotationally invariant three-dimensional (3D) descriptor MaP (mapping p
Publikováno v:
ACS Omega, Vol 3, Iss 5, Pp 5704-5714 (2018)
ACS Omega
ACS Omega
The prediction of protein–ligand interactions and their corresponding binding free energy is a challenging task in structure-based drug design and related applications. Docking and scoring is broadly used to propose the binding mode and underlying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::0819061790b837fc69743abd3164a561
http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/47211
http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/47211
Autor:
Knut Baumann, Gisbert Schneider
Publikováno v:
Molecular informatics. 37(1-2)