Zobrazeno 1 - 10
of 7 469
pro vyhledávání: '"J. Kulik"'
Autor:
Michael P. Torrens-Spence, Jason O. Matos, Tianjie Li, David W. Kastner, Colin Y. Kim, Ziqi Wang, Christopher M. Glinkerman, Jennifer Sherk, Heather J. Kulik, Yi Wang, Jing-Ke Weng
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Salicylic acid (SA) production in Brassicaceae plants is uniquely accelerated from isochorismate by EPS1, a newly identified enzyme in the BAHD acyltransferase family. We present crystal structures of EPS1 from Arabidopsis thaliana in both i
Externí odkaz:
https://doaj.org/article/c18dbb2f134d48c88c29a4b4123fa34d
Autor:
Roger C. Diehl, Rajeev S. Chorghade, Allison M. Keys, Mohammad Murshid Alam, Stephen A. Early, Amanda E. Dugan, Miri Krupkin, Katharina Ribbeck, Heather J. Kulik, Laura L. Kiessling
Publikováno v:
JACS Au, Vol 4, Iss 8, Pp 3028-3037 (2024)
Externí odkaz:
https://doaj.org/article/ef305b0f18e34b09b750846bb436ba0b
Autor:
David J. Lundberg, Christopher M. Brown, Eduard O. Bobylev, Nathan J. Oldenhuis, Yasmeen S. Alfaraj, Julia Zhao, Ilia Kevlishvili, Heather J. Kulik, Jeremiah A. Johnson
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Supramolecular polymer networks contain non-covalent cross-links that enable access to broadly tunable mechanical properties and stimuli-responsive behaviors; the incorporation of multiple unique non-covalent cross-links within such material
Externí odkaz:
https://doaj.org/article/6df593b864384798ae6d0c7f158db9c7
Publikováno v:
Angewandte Chemie (International ed. in English) [Angew Chem Int Ed Engl] 2019 Mar 04; Vol. 58 (10), pp. 2940-2941. Date of Electronic Publication: 2019 Jan 25.
Publikováno v:
Angewandte Chemie. 3/4/2019, Vol. 131 Issue 10, p2966-2967. 2p.
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-17 (2023)
Abstract With the increasingly more important role of machine learning (ML) models in chemical research, the need for putting a level of confidence to the model predictions naturally arises. Several methods for obtaining uncertainty estimates have be
Externí odkaz:
https://doaj.org/article/ed0651e907dd46c78f2bfbd9571ea303
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-18 (2023)
Abstract Transcription reprogramming during cell differentiation involves targeting enhancers to genes responsible for establishment of cell fates. To understand the contribution of CTCF-mediated chromatin organization to cell lineage commitment, we
Externí odkaz:
https://doaj.org/article/00e0a254d49a49f2932ed23a536029a6
Autor:
Colin Y. Kim, Andrew J. Mitchell, David W. Kastner, Claire E. Albright, Michael A. Gutierrez, Christopher M. Glinkerman, Heather J. Kulik, Jing-Ke Weng
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Plant biosynthetic enzymes rapidly evolve to catalyze specialized reactions. Here, the authors present the crystal structure and mechanism of COSY, the enzyme involved in coumarin biosynthesis of the BAHD-acyltransferase family that catalyzes an intr
Externí odkaz:
https://doaj.org/article/ba81046af1a147e19edddaaedab81596
Autor:
Aditya Nandy, Gianmarco Terrones, Naveen Arunachalam, Chenru Duan, David W. Kastner, Heather J. Kulik
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-11 (2022)
Measurement(s) thermal decomposition Technology Type(s) thermogravimetry
Externí odkaz:
https://doaj.org/article/40ab9ceff7b64f64872d2d95e12c2d66
Autor:
Seyed Mohamad Moosavi, Aditya Nandy, Kevin Maik Jablonka, Daniele Ongari, Jon Paul Janet, Peter G. Boyd, Yongjin Lee, Berend Smit, Heather J. Kulik
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
At present there are databases with over 500,000 predicted or synthesized MOF structures, yet a method to establish whether a new material adds new information does not exist. Here the authors propose a machine-learning based approach to quantify the
Externí odkaz:
https://doaj.org/article/1372a595c9304ad5a57637579b729d38