Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Juan Esquivel-Rodríguez"'
Publikováno v:
Tecnología en Marcha, Vol 35, Iss 9 (2022)
Externí odkaz:
https://doaj.org/article/6fc0e987d4ed4987bdd8289fe72dc4ce
Publikováno v:
Biomimetics, Vol 6, Iss 2, p 37 (2021)
Electron Microscopy Maps are key in the study of bio-molecular structures, ranging from borderline atomic level to the sub-cellular range. These maps describe the envelopes that cover possibly a very large number of proteins that form molecular machi
Externí odkaz:
https://doaj.org/article/a9ddf455b44d48afa81ecaccafa998db
Autor:
José Salas-Bonilla, Manuel Zumbado-Corrales, Daisuke Kihara, Luis Castillo-Valverde, Juan Esquivel-Rodríguez, Julio Víquez-Murillo
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030410049
CARLA
CARLA
Electron microscopy is a technique used to determine the structure of bio-molecular machines via three-dimensional images (called maps). The state-of-the-art is able to determine structures at resolutions that allow us to identify up to secondary str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32d4f3bde1402d3ea525291e6899ac56
https://doi.org/10.1007/978-3-030-41005-6_32
https://doi.org/10.1007/978-3-030-41005-6_32
Autor:
A. Roy, Lenna X. Peterson, Jian Zhang, Daisuke Kihara, Juan Esquivel-Rodríguez, Woong-Hee Shin, Xusi Han, Hyungrae Kim, Matthew R. Lee, Genki Terashi
Publikováno v:
Proteins: Structure, Function, and Bioinformatics. 85:513-527
We report the performance of protein-protein docking predictions by our group for recent rounds of the Critical Assessment of Prediction of Interactions (CAPRI), a community-wide assessment of state-of-the-art docking methods. Our prediction procedur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccb172afddee1c70bf4d68b82acbb697
https://doi.org/10.1002/prot.25165
https://doi.org/10.1002/prot.25165
Autor:
Genki Terashi, Juan Esquivel-Rodríguez, Lenna X. Peterson, A. Roy, Woong-Hee Shin, Charles Christoffer, Yoichiro Togawa, Daisuke Kihara
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 1, p e1005937 (2018)
PLoS Computational Biology
PLoS Computational Biology
Protein-protein interactions are the cornerstone of numerous biological processes. Although an increasing number of protein complex structures have been determined using experimental methods, relatively fewer studies have been performed to determine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fec7e9120d339e3f346ebc11b125736
http://europepmc.org/articles/PMC5785014?pdf=render
http://europepmc.org/articles/PMC5785014?pdf=render
Autor:
Jozef Mravec, Alain Mareck, Catherine Rayon, Daisuke Kihara, Elisabeth Jamet, Emeline Rosiau, Hyungrae Kim, Mélanie L'Enfant, Jean-Marc Domon, Estelle Bonnin, Paulo Marcelo, Marie-Jeanne Crépeau, Ogier Surcouf, Marie-Christine Ralet, Juan Esquivel-Rodríguez, Jérôme Pelloux, Fabien Sénéchal, François Guerineau, Patrice Lerouge
Publikováno v:
Journal of Biological Chemistry. 290:23320-23335
Pectin methylesterases (PMEs) catalyze the demethylesterification of homogalacturonan domains of pectin in plant cell walls and are regulated by endogenous pectin methylesterase inhibitors (PMEIs). In Arabidopsis dark-grown hypocotyls, one PME (AtPME
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95193ae4e82cddb74b91035d3dd0d3f9
https://doi.org/10.1074/jbc.m115.639534
https://doi.org/10.1074/jbc.m115.639534
Autor:
Howook Hwang, Shiyong Liu, Xiaoqin Zou, Huan-Xiang Zhou, Hideaki Umeyama, Paul A. Bates, Hahnbeom Park, Yangyu Huang, Xiaolei Zhu, Marianne Rooman, Rudi Agius, David Baker, Sarel J. Fleishman, Dimitri Gillis, Eiji Kanamori, Yuko Tsuchiya, Sandor Vajda, Panagiotis L. Kastritis, Brian Jimenez, Thom Vreven, Xiufeng Yang, Hiromitsu Shimoyama, Nan Zhao, Zhiping Weng, Sheng-You Huang, Mikael Trellet, Chaok Seok, Samuel C. Flores, Miguel Romero-Durana, Sanbo Qin, Michael S. Pacella, Julie C. Mitchell, Mayuko Takeda-Shitaka, Dmitri Beglov, Jeffrey J. Gray, Shoshana J. Wodak, Rocco Moretti, Martin Zacharias, Dmitry Korkin, Dima Kozakov, João P. G. L. M. Rodrigues, Haruki Nakamura, Juan Esquivel-Rodríguez, Mieczyslaw Torchala, Yves Dehouck, Alexandre M. J. J. Bonvin, David R. Hall, Mitsuo Iwadate, Krishna Praneeth Kilambi, Jamica Sarmiento, Daron M. Standley, Joël Janin, Omar N. A. Demerdash, Brian G. Pierce, Chiara Pallara, Meng Cui, Shusuke Teraguchi, Petr Popov, Hasup Lee, Haotian Li, Juan Fernández-Recio, Laura Pérez-Cano, Sergei Grudinin, Sameer Velankar, Daisuke Kihara, Xiaofeng Ji, Genki Terashi, Yi Xiao, Shide Liang, Iain H. Moal
Publikováno v:
Proteins: Structure, Function, and Bioinformatics. 81:1980-1987
Community-wide blind prediction experiments such as CAPRI and CASP provide an objective measure of the current state of predictive methodology. Here we describe a community-wide assessment of methods to predict the effects of mutations on protein-pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c35f351f56e60c23e4c4383987063979
https://doi.org/10.1002/prot.24356
https://doi.org/10.1002/prot.24356
Autor:
Eichiro Ichiishi, Dmitri Beglov, Bernard Maigret, Gyu Rie Lee, Artem B. Mamonov, Shoshana J. Wodak, Jonathan C. Fuller, Dima Kozakov, Jong Young Joung, Petr Popov, Xiaofeng Yu, Keehyoung Joo, João P. G. L. M. Rodrigues, Anna Vangone, Koen M. Visscher, Xiaoqin Zou, Paul A. Bates, Andriy Kryshtafovych, Shourya S. Roy Burman, Daisuke Kihara, Romina Oliva, Efrat Ben-Zeev, Jeffrey J. Gray, Yang Shen, Li C. Xue, Sameer Velankar, Emilie Neveu, Shruthi Viswanath, Dina Schneidman-Duhovny, Juan Esquivel-Rodríguez, Mieczyslaw Torchala, Amit Roy, Alexandre M. J. J. Bonvin, David R. Hall, Tanggis Bohnuud, Xusi Han, David W. Ritchie, Ron Elber, Daisuke Kuroda, Zhiwei Ma, Joan Segura, Carlos A. Del Carpio, Nicholas A. Marze, Jong Yun Kim, Andrej Sali, Petras J. Kundrotas, Ezgi Karaca, Neil J. Bruce, Chaok Seok, Panagiotis L. Kastritis, Shen You Huang, Ilya A. Vakser, Lim Heo, Sanbo Qin, Raphael A. G. Chaleil, Adrien S. J. Melquiond, Miguel Romero-Durana, Anisah W. Ghoorah, Surendra S. Negi, Andrey Tovchigrechko, Françoise Ochsenbein, Narcis Fernandez-Fuentes, Liming Qiu, Miriam Eisenstein, Mehdi Nellen, Marie-Dominique Devignes, Lenna X. Peterson, Jinchao Yu, Minkyung Baek, Brian G. Pierce, Hasup Lee, Toshiyuki Oda, Rebecca C. Wade, Raphael Guerois, Juan Fernández-Recio, Iain H. Moal, Edrisse Chermak, Sergei Grudinin, Sangwoo Park, Ivan Anishchenko, Chengfei Yan, Thom Vreven, Kentaro Tomii, Bing Xia, Hyung Rae Kim, Chiara Pallara, Jooyoung Lee, Kazunori D. Yamada, Xianjin Xu, Kenichiro Imai, Zhiping Weng, Luigi Cavallo, Tyler M. Borrman, Jianlin Cheng, Marc F. Lensink, Huan-Xiang Zhou, Jilong Li, Gydo C. P. van Zundert, Brian Jiménez-García, Tsukasa Nakamura, Scott E. Mottarella, Sandor Vajda
Publikováno v:
Proteins-Structure, Function and Bioinformatics
Proteins-Structure, Function and Bioinformatics, Wiley, 2016, Special Issue: Eleventh Meeting on the Critical Assessment of Techniques for Protein Structure Prediction, 84 (S1), pp.323-348 〈10.1002/prot.25007〉
Proteins-Structure, Function and Bioinformatics, 2016, Special Issue: Eleventh Meeting on the Critical Assessment of Techniques for Protein Structure Prediction, 84 (S1), pp.323-348. ⟨10.1002/prot.25007⟩
Proteins-Structure, Function and Bioinformatics, Wiley, 2016, Special Issue: Eleventh Meeting on the Critical Assessment of Techniques for Protein Structure Prediction, 84 (S1), pp.323-348. ⟨10.1002/prot.25007⟩
Recercat. Dipósit de la Recerca de Catalunya
instname
Proteins
Proteins: Structure function and bioinformatics, 84(S1), 323. Wiley-Liss Inc.
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Proteins-Structure, Function and Bioinformatics, Wiley, 2016, Special Issue: Eleventh Meeting on the Critical Assessment of Techniques for Protein Structure Prediction, 84 (S1), pp.323-348 〈10.1002/prot.25007〉
Proteins-Structure, Function and Bioinformatics, 2016, Special Issue: Eleventh Meeting on the Critical Assessment of Techniques for Protein Structure Prediction, 84 (S1), pp.323-348. ⟨10.1002/prot.25007⟩
Proteins-Structure, Function and Bioinformatics, Wiley, 2016, Special Issue: Eleventh Meeting on the Critical Assessment of Techniques for Protein Structure Prediction, 84 (S1), pp.323-348. ⟨10.1002/prot.25007⟩
Recercat. Dipósit de la Recerca de Catalunya
instname
Proteins
Proteins: Structure function and bioinformatics, 84(S1), 323. Wiley-Liss Inc.
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
We present the results for CAPRI Round 30, the first joint CASP-CAPRI experiment, which brought together experts from the protein structure prediction and protein–protein docking communities. The Round comprised 25 targets from amongst those submit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8102faf768692c2ecf1ed7b49988fca7
https://hal.inria.fr/hal-01309105
https://hal.inria.fr/hal-01309105
Publikováno v:
Journal of Computational Chemistry
Crystallization of protein-protein complexes can often be problematic and therefore computational structural models are often relied on. Such models are often generated using protein-protein docking algorithms, where one of the main challenges is sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86f2491f85108b347cf5d8b93ba68d00
https://europepmc.org/articles/PMC5015890/
https://europepmc.org/articles/PMC5015890/
Publikováno v:
Proteins: Structure, Function, and Bioinformatics. 80:1818-1833
The tertiary structures of protein complexes provide a crucial insight about the molecular mechanisms that regulate their functions and assembly. However, solving protein complex structures by experimental methods is often more difficult than single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::192452224a6bccf8c6cec809de66b473
https://doi.org/10.1002/prot.24079
https://doi.org/10.1002/prot.24079