Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Justin B Siegel"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 7, p e1012248 (2024)
Protein stability plays a crucial role in a variety of applications, such as food processing, therapeutics, and the identification of pathogenic mutations. Engineering campaigns commonly seek to improve protein stability, and there is a strong intere
Externí odkaz:
https://doaj.org/article/372a48f2af3f427c87d296f3abe4448b
Autor:
Steve J Bertolani, Justin B Siegel
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0214126 (2019)
Enzymes play a critical role in a wide array of industrial, medical, and research applications and with the recent explosion of genomic sequencing, we now have sequences for millions of enzymes for which there is no known structure. In order to utili
Externí odkaz:
https://doaj.org/article/31b3aa34ed5e49f9bb4d96de16ee9797
Autor:
Dylan Alexander Carlin, Siena Hapig-Ward, Bill Wayne Chan, Natalie Damrau, Mary Riley, Ryan W Caster, Bowen Bethards, Justin B Siegel
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176255 (2017)
Accurate modeling of enzyme activity and stability is an important goal of the protein engineering community. However, studies seeking to evaluate current progress are limited by small data sets of quantitative kinetic constants and thermal stability
Externí odkaz:
https://doaj.org/article/37208aa02a7a40ffae4f3454e1a86f30
Autor:
Dylan Alexander Carlin, Ryan W Caster, Xiaokang Wang, Stephanie A Betzenderfer, Claire X Chen, Veasna M Duong, Carolina V Ryklansky, Alp Alpekin, Nathan Beaumont, Harshul Kapoor, Nicole Kim, Hosna Mohabbot, Boyu Pang, Rachel Teel, Lillian Whithaus, Ilias Tagkopoulos, Justin B Siegel
Publikováno v:
PLoS ONE, Vol 11, Iss 1, p e0147596 (2016)
The use of computational modeling algorithms to guide the design of novel enzyme catalysts is a rapidly growing field. Force-field based methods have now been used to engineer both enzyme specificity and activity. However, the proportion of designed
Externí odkaz:
https://doaj.org/article/42e9fefb8ed04c1b91b2308cf4da2b9f
Autor:
Edward King, Sarah Maxel, Yulai Zhang, Karissa C. Kenney, Youtian Cui, Emma Luu, Justin B. Siegel, Gregory A. Weiss, Ray Luo, Han Li
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Engineering enzymes to accept noncanonical cofactor biomimetics is difficult. Here, the authors establish a self-sufficient growth selection method and demonstrate its application in engineering the Lactobacillus pentosus NADH oxidase to efficiently
Externí odkaz:
https://doaj.org/article/41cd426163c543aaa20d2d073663935b
Autor:
Linyue Zhang, Edward King, William B. Black, Christian M. Heckmann, Allison Wolder, Youtian Cui, Francis Nicklen, Justin B. Siegel, Ray Luo, Caroline E. Paul, Han Li
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Engineering enzymes to utilize the noncanonical redox cofactors such as nicotinamide mononucleotide (NMN + ) is challenging. Here, the authors report a growth-based selection platform for NMN + -reducing enzyme engineering and show its application in
Externí odkaz:
https://doaj.org/article/75d6e8408c81418bb081b0cb20fbd5ad
Autor:
Julia Koehler Leman, Sergey Lyskov, Steven M. Lewis, Jared Adolf-Bryfogle, Rebecca F. Alford, Kyle Barlow, Ziv Ben-Aharon, Daniel Farrell, Jason Fell, William A. Hansen, Ameya Harmalkar, Jeliazko Jeliazkov, Georg Kuenze, Justyna D. Krys, Ajasja Ljubetič, Amanda L. Loshbaugh, Jack Maguire, Rocco Moretti, Vikram Khipple Mulligan, Morgan L. Nance, Phuong T. Nguyen, Shane Ó Conchúir, Shourya S. Roy Burman, Rituparna Samanta, Shannon T. Smith, Frank Teets, Johanna K. S. Tiemann, Andrew Watkins, Hope Woods, Brahm J. Yachnin, Christopher D. Bahl, Chris Bailey-Kellogg, David Baker, Rhiju Das, Frank DiMaio, Sagar D. Khare, Tanja Kortemme, Jason W. Labonte, Kresten Lindorff-Larsen, Jens Meiler, William Schief, Ora Schueler-Furman, Justin B. Siegel, Amelie Stein, Vladimir Yarov-Yarovoy, Brian Kuhlman, Andrew Leaver-Fay, Dominik Gront, Jeffrey J. Gray, Richard Bonneau
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Computational methods are becoming an increasingly important part of biological research. Using the Rosetta framework as an example, the authors demonstrate how community-driven development of computational methods can be done in a reproducible and r
Externí odkaz:
https://doaj.org/article/7ccba8c202cd473d906c246ef7b2eb77
Autor:
Ashley Vater, Ryan Caster, Hugh Haddox, Audrey Olshefsky, Meerit Said, Neil P. King, Justin B. Siegel
Publikováno v:
Frontiers in Education, Vol 7 (2022)
In response to the limited research experiences for young scholars during the COVID-19 pandemic and community interest, we developed the Pre-College Rosetta Internship Opportunity (PCR-IO). The mission of PCR-IO was to offer a program to increase equ
Externí odkaz:
https://doaj.org/article/eda8668fde374c5a86ef078ef61ef58b
Publikováno v:
ACS Omega, Vol 4, Iss 27, Pp 22356-22362 (2019)
Externí odkaz:
https://doaj.org/article/b27e91eddb4341b4b895b7d46259f7a1
Autor:
Kathryn G. Guggenheim, Lauren M. Crawford, Francesca Paradisi, Selina C. Wang, Justin B. Siegel
Publikováno v:
ACS Omega, Vol 3, Iss 11, Pp 15754-15762 (2018)
Externí odkaz:
https://doaj.org/article/fd3dbcb08c2e426694770e54238293c1