Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Caleb Geniesse"'
Publikováno v:
NeuroImage, Vol 243, Iss , Pp 118531- (2021)
Despite substantial progress in the quest of demystifying the brain basis of creativity, several questions remain open. One such issue concerns the relationship between two latent cognitive modes during creative thinking, i.e., deliberate goal-direct
Externí odkaz:
https://doaj.org/article/374490a78e7245dcb46fd4b65a9ed09f
Publikováno v:
Network Neuroscience, Vol 3, Iss 3, Pp 763-778 (2019)
In this article, we present an open source neuroinformatics platform for exploring, analyzing, and validating distilled graphical representations of high-dimensional neuroimaging data extracted using topological data analysis (TDA). TDA techniques li
Externí odkaz:
https://doaj.org/article/6a0636b2b8d84e8eb3a9310ba20312fb
Publikováno v:
Network Neuroscience. :1-32
For better translational outcomes, researchers and clinicians alike demand novel tools to distill complex neuroimaging data into simple yet behaviorally relevant representations at the single-participant level. Recently, the Mapper approach from topo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dca80ad7b82d47b2e6ae2d26cac1bbb
https://doi.org/10.1162/netn_a_00229
https://doi.org/10.1162/netn_a_00229
Publikováno v:
Neuroimage
NeuroImage, Vol 243, Iss, Pp 118531-(2021)
NeuroImage, Vol 243, Iss, Pp 118531-(2021)
Despite substantial progress in the quest of demystifying the brain basis of creativity, several questions remain open. One such issue concerns the relationship between two latent cognitive modes during creative thinking, i.e., deliberate goal-direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edde5072cde4966ac9598f3410cb1702
https://europepmc.org/articles/PMC8497437/
https://europepmc.org/articles/PMC8497437/
The apical junction of epithelial cells can generate force to control cell geometry and perform contractile processes while maintaining barrier function and adhesion. Yet, the structural basis for force generation at the apical junction is not fully
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bec2e682db829f2e3e6d0010f4fcd560
https://doi.org/10.1101/2020.12.30.424702
https://doi.org/10.1101/2020.12.30.424702
Publikováno v:
The Journal of cell biology. 221(5)
The apical junction of epithelial cells can generate force to control cell geometry and perform contractile processes while maintaining barrier function and adhesion. Yet, the structural basis for force generation at the apical junction is not fully
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b4979fd73ce4003efd589eaa90f93a6
https://pubmed.ncbi.nlm.nih.gov/35416930
https://pubmed.ncbi.nlm.nih.gov/35416930
Autor:
Joanna Sarzynska, David M.J. Lilley, Yi Xiao, Peinan Zhao, Michal J. Boniecki, Dinshaw J. Patel, Astha Joshi, Yuanzhe Zhou, Radoslaw Pluta, Clarence Yu Cheng, Lin Huang, Fang-Chieh Chou, Zhichao Miao, François Major, Li-Zhen Sun, Chenhan Zhao, Marcin Magnus, Andrey Krokhotin, Rhiju Das, Zhenzhen Zhang, Joseph D. Yesselman, Jakub Wiedemann, Yijin Liu, Olivier Mailhot, Xiaojun Xu, Andrew M. Watkins, Robert T. Batey, Yangwei Jiang, Caleb Geniesse, Maciej Antczak, Adriana Żyła, Siqi Tian, Aiming Ren, Nikolay V. Dokholyan, Thomas H. Mann, Tomasz Zok, Janusz M. Bujnicki, Shi-Jie Chen, Ryszard W. Adamiak, Eric Westhof, Barbara L. Golden, Jian Wang, Feng Ding, Marta Szachniuk, Mariusz Popenda, Paweł Piątkowski, Dong Zhang, Yi Cheng, Yi Zhang, Jun Wang
Publikováno v:
RNA
RNA, Cold Spring Harbor Laboratory Press, 2020, 26 (8), pp.982-995. ⟨10.1261/rna.075341.120⟩
RNA, Cold Spring Harbor Laboratory Press, 2020, 26 (8), pp.982-995. ⟨10.1261/rna.075341.120⟩
International audience; RNA-Puzzles is a collective endeavor dedicated to the advancement and improvement of RNA 3D structure prediction. With agreement from crystallographers, the RNA structures are predicted by various groups before the publication
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce737604dde88ce4f4cd65a4a5aab7cf
https://hal.archives-ouvertes.fr/hal-02966062
https://hal.archives-ouvertes.fr/hal-02966062
Autor:
Evan N. Feinberg, Joseph Gomes, Vijay S. Pande, Caleb Geniesse, Aneesh S. Pappu, Zhenqin Wu, Bharath Ramsundar, Karl Leswing
Publikováno v:
Chemical Science. 9:513-530
Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger datasets have enabled machine learning algorithms to make increasingly accurate predictions about molecular properties. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a80afbd584722d6dc08c13cd237582bb
https://doi.org/10.1039/c7sc02664a
https://doi.org/10.1039/c7sc02664a
Autor:
Neeraj Sonalkar, Hua Xie, Roger E. Beaty, Rafi Ayub, Manish Saggar, Sahar Jahanikia, Caleb Geniesse
Publikováno v:
Understanding Innovation ISBN: 9783030289591
Reflection—the activity of reasoning through an action that has occurred—has been shown to be of importance to the development of design expertise. Although design reflection has been widely studied previously, several gaps in the knowledge still
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1859d82a081dd72172f0e7d44279210b
https://doi.org/10.1007/978-3-030-28960-7_10
https://doi.org/10.1007/978-3-030-28960-7_10
Autor:
Jack Maguire, Ragul Gowthaman, Marion F. Sauer, Georg Kuenze, Tanja Kortemme, Benjamin Basanta, Indigo Chris King, Jens Meiler, Rhiju Das, Ora Schueler-Furman, Nicholas A. Marze, Brandon Frenz, Christoffer Norn, Julia Koehler Leman, Jason W. Labonte, Kala Bharath Pilla, Lei Shi, Sergey Lyskov, Brian D. Weitzner, Nir London, Karen R. Khar, Jaume Bonet, Nawsad Alam, Andreas Scheck, Alexander M. Sevy, Lars Malmström, Thomas Huber, Christopher Bystroff, Lior Zimmerman, Lorna Dsilva, Bruno E. Correia, Roland L. Dunbrack, Sergey Ovchinnikov, Rocco Moretti, Scott Horowitz, Phil Bradley, Frank DiMaio, Noah Ollikainen, Brian Kuhlman, Jeffrey J. Gray, Melanie L. Aprahamian, Andrew Leaver-Fay, Santrupti Nerli, Brian Koepnick, Xingjie Pan, Manasi A. Pethe, Andrew M. Watkins, Summer B. Thyme, Enrique Marcos, Vikram Khipple Mulligan, Hahnbeom Park, Po-Ssu Huang, David K. Johnson, Daniel-Adriano Silva, Patrick Barth, Shannon Smith, Caleb Geniesse, Jason K. Lai, Patrick Conway, Amelie Stein, Jeliazko R. Jeliazkov, David Baker, Dominik Gront, Kalli Kappel, Firas Khatib, Robert Kleffner, Brian J. Bender, Richard Bonneau, Kyle A. Barlow, Joseph H. Lubin, Shourya S. Roy Burman, Nikolaos G. Sgourakis, Yuval Sedan, Ryan E. Pavlovicz, Kristin Blacklock, Seth Cooper, Barak Raveh, Alisa Khramushin, John Karanicolas, Justin B. Siegel, Sharon L. Guffy, Brian G. Pierce, Alex Ford, Darwin Y. Fu, Orly Marcu, Gideon Lapidoth, Brian Coventry, René M. de Jong, Shane O’Conchúir, Thomas W. Linsky, William R. Schief, Rebecca F. Alford, Scott E. Boyken, Sagar D. Khare, Maria Szegedy, Ray Yu-Ruei Wang, Steven M. Lewis, Hamed Khakzad, Timothy M. Jacobs, Frank D. Teets, Lukasz Goldschmidt, Daisuke Kuroda, Steffen Lindert, P. Douglas Renfrew, Yifan Song, Jared Adolf-Bryfogle, Michael S. Pacella, Aliza B. Rubenstein
Publikováno v:
Nat Methods
The Rosetta software for macromolecular modeling, docking and design is extensively used in laboratories worldwide. During two decades of development by a community of laboratories at more than 60 institutions, Rosetta has been continuously refactore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c561276e840d68005d2aab06fb9642da
https://pubmed.ncbi.nlm.nih.gov/32483333
https://pubmed.ncbi.nlm.nih.gov/32483333