Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Artur Meller"'
Autor:
Artur Meller, Michael Ward, Jonathan Borowsky, Meghana Kshirsagar, Jeffrey M. Lotthammer, Felipe Oviedo, Juan Lavista Ferres, Gregory R. Bowman
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Cryptic pockets enable targeting of proteins currently considered undruggable because they lack pockets in their ground state structures. Here, the authors develop a graph neural network that accurately predicts cryptic pockets in static structures b
Externí odkaz:
https://doaj.org/article/41a3c6430fd3496cb5e06f23a4ce9bc3
Autor:
Adrian Mróz, Maciej Szymański, Paweł Koch, Marek Pawlicki, Artur Meller, Robert Edward Przekop
Publikováno v:
Materials, Vol 17, Iss 9, p 1951 (2024)
The aim of the work was to investigate the influence of the surface texture of composite based on PA6, intended for wet painting, on the stability of the colour and gloss parameters. The stability of the paint coating was required to be maintained de
Externí odkaz:
https://doaj.org/article/37b113f352ee4240b057e340b4a43918
Autor:
Artur Meller, Saulo De Oliveira, Aram Davtyan, Tigran Abramyan, Gregory R. Bowman, Henry van den Bedem
Publikováno v:
Frontiers in Molecular Biosciences, Vol 10 (2023)
Virtual screening is a widely used tool for drug discovery, but its predictive power can vary dramatically depending on how much structural data is available. In the best case, crystal structures of a ligand-bound protein can help find more potent li
Externí odkaz:
https://doaj.org/article/b60074420ce54bbd8559ec679949561f
Autor:
Artur Meller, Jeffrey M Lotthammer, Louis G Smith, Borna Novak, Lindsey A Lee, Catherine C Kuhn, Lina Greenberg, Leslie A Leinwand, Michael J Greenberg, Gregory R Bowman
Publikováno v:
eLife, Vol 12 (2023)
The design of compounds that can discriminate between closely related target proteins remains a central challenge in drug discovery. Specific therapeutics targeting the highly conserved myosin motor family are urgently needed as mutations in at least
Externí odkaz:
https://doaj.org/article/376094e3254c440f9fdb0628df390ca2
Autor:
Michael D. Ward, Maxwell I. Zimmerman, Artur Meller, Moses Chung, S. J. Swamidass, Gregory R. Bowman
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Comparing and contrasting structural ensembles of different protein variants helps connect specific structural features to a protein’s biochemical properties. Here, the authors propose DiffNets, a self-supervised, deep learning method that streamli
Externí odkaz:
https://doaj.org/article/13c6be6650f24dc28b6a7660d1256cac
Autor:
Marcin Suszyński, Artur Meller, Katarzyna Peta, Marek Trączyński, Marcin Butlewski, Frantisek Klimenda
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11160 (2022)
The proposed model of the neural network (NN) describes the optimization task of the water meter body assembly process, based on 18 selected production parameters. The aim of this network was to obtain a certain value of radial runout after the assem
Externí odkaz:
https://doaj.org/article/3edd85d7cfc04f75a02455d917c1cd4c
Publikováno v:
eLife, Vol 9 (2020)
Myosin motor domains perform an extraordinary diversity of biological functions despite sharing a common mechanochemical cycle. Motors are adapted to their function, in part, by tuning the thermodynamics and kinetics of steps in this cycle. However,
Externí odkaz:
https://doaj.org/article/a55697cfd1e6486e9b1c8264c308fb3b
Publikováno v:
Materials, Vol 14, Iss 21, p 6301 (2021)
This article presents the results of tests conducted as part of a research project with the primary objective of developing new copper alloys with limited lead content. The new group of materials were created in a production plant. As part of tests,
Externí odkaz:
https://doaj.org/article/21ffe0c495244906945baf0ff76efea6
Autor:
Weihong Yuan, Artur Meller, Joshua S. Shimony, Tiffany Nash, Blaise V. Jones, Scott K. Holland, Mekibib Altaye, Holly Barnard, Jannel Phillips, Stephanie Powell, Robert C. McKinstry, David D. Limbrick, Akila Rajagopal, Francesco T. Mangano
Publikováno v:
NeuroImage: Clinical, Vol 12, Iss C, Pp 631-639 (2016)
Neuroimaging research in surgically treated pediatric hydrocephalus patients remains challenging due to the artifact caused by programmable shunt. Our previous study has demonstrated significant alterations in the whole brain white matter structural
Externí odkaz:
https://doaj.org/article/206b47c41360440fa48aa464bcacaee1
Publikováno v:
Manufacturing Technology. 23:118-126
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::175358799d273d06e0eaba3e2d904912
https://doi.org/10.21062/mft.2023.023
https://doi.org/10.21062/mft.2023.023