Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Narayanan Eswar"'
Autor:
Guendalina Marini, Brad Poland, Chris Leininger, Natalya Lukoyanova, Dan Spielbauer, Jennifer K. Barry, Dan Altier, Amy Lum, Eric Scolaro, Claudia Pérez Ortega, Nasser Yalpani, Gary Sandahl, Tim Mabry, Jeffrey Klever, Timothy Nowatzki, Jian-Zhou Zhao, Amit Sethi, Adane Kassa, Virginia Crane, Albert L. Lu, Mark E. Nelson, Narayanan Eswar, Maya Topf, Helen R. Saibil
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract The broad adoption of transgenic crops has revolutionized agriculture. However, resistance to insecticidal proteins by agricultural pests poses a continuous challenge to maintaining crop productivity and new proteins are urgently needed to r
Externí odkaz:
https://doaj.org/article/d2784a4f824b4587ab65f58ba0743143
Autor:
Leticia Ortí, Rodrigo J Carbajo, Ursula Pieper, Narayanan Eswar, Stephen M Maurer, Arti K Rai, Ginger Taylor, Matthew H Todd, Antonio Pineda-Lucena, Andrej Sali, Marc A Marti-Renom
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 3, Iss 4, p e418 (2009)
Conventional patent-based drug development incentives work badly for the developing world, where commercial markets are usually small to non-existent. For this reason, the past decade has seen extensive experimentation with alternative R&D institutio
Externí odkaz:
https://doaj.org/article/d675c07281044f6195bfb6c6c5def459
Autor:
Roland Beckmann, Christian M.T. Spahn, Narayanan Eswar, Jürgen Helmers, Pawel A. Penczek, Andrej Sali, Joachim Frank, Günter Blobel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abdcb61a50e7bcb09be15ca9de438de3
https://doi.org/10.1142/9789813234864_0026
https://doi.org/10.1142/9789813234864_0026
Autor:
Haixiao Gao, Jayati Sengupta, Mikel Valle, Andrei Korostelev, Narayanan Eswar, Scott M. Stagg, Patrick Van Roey, Rajendra K. Agrawal, Stephen C. Harvey, Andrej Sali, Michael S. Chapman, Joachim Frank
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd5982d8425e686c1f581e0cf681885f
https://doi.org/10.1142/9789813234864_0030
https://doi.org/10.1142/9789813234864_0030
Publikováno v:
Protein Engineering Design and Selection. 22:569-574
Comparing the structures of proteins is crucial to gaining insight into protein evolution and function. Here, we align the sequences of multiple protein structures by a dynamic programming optimization of a scoring function that is a sum of an affine
Autor:
Svetlana Dokudovskaya, Frank Alber, Brian T. Chait, Damien P. Devos, Rosemary Williams, Narayanan Eswar, Andrej Sali, Michael P. Rout
Publikováno v:
Proceedings of the National Academy of Sciences. 103:2172-2177
The nuclear pore complex (NPC) consists of multiple copies of approximately 30 different proteins [nucleoporins (nups)], forming a channel in the nuclear envelope that mediates macromolecular transport between the cytosol and the nucleus. With5% of t
Autor:
Alfonso Valencia, Volker A. Eyrich, Mallur S. Madhusudhan, Burkhard Rost, Marc A. Marti-Renom, Andrej Sali, Osvaldo Graña, Florencio Pazos, Ingrid Y. Y. Koh, Dariusz Przybylski, Narayanan Eswar
Publikováno v:
Nucleic Acids Research. 31:3311-3315
EVA (http://cubic.bioc.columbia.edu/eva/) is a web server for evaluation of the accuracy of automated protein structure prediction methods. The evaluation is updated automatically each week, to cope with the large number of existing prediction server
Autor:
Jiansheng Jiang, Christopher D. Lima, Simon J. Boulton, Hua Chen, Linda McMahan, Jeffrey B. Bonanno, Steven C. Almo, Valentin A. Ilyin, Marc Vidal, Narayanan Eswar, Andrej Sali, Mark R. Chance, Stephen K. Burley, Anne R. Bresnick, Ursula Pieper, Raymond Y. Huang, Li Kai Wang, Soumya S. Ray, John A. Buglino, Guoshun He
Publikováno v:
Protein Science. 11:723-738
Progress in understanding the organization and sequences of genes in model organisms and humans is rapidly accelerating. Although genome sequences from prokaryotes have been available for some time, only recently have the genome sequences of several
In this perspective, we begin by describing the comparative protein structure modeling technique and the accuracy of the corresponding models. We then discuss the significant role that comparative prediction plays in drug discovery. We focus on virtu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7a7ba4efa71d3ba1f55f116209d1922
https://doi.org/10.1016/b978-0-12-409547-2.11133-3
https://doi.org/10.1016/b978-0-12-409547-2.11133-3