Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yeganeh Foroughijabbari"'
Autor:
Amir Pandi, David Adam, Amir Zare, Van Tuan Trinh, Stefan L. Schaefer, Marie Burt, Björn Klabunde, Elizaveta Bobkova, Manish Kushwaha, Yeganeh Foroughijabbari, Peter Braun, Christoph Spahn, Christian Preußer, Elke Pogge von Strandmann, Helge B. Bode, Heiner von Buttlar, Wilhelm Bertrams, Anna Lena Jung, Frank Abendroth, Bernd Schmeck, Gerhard Hummer, Olalla Vázquez, Tobias J. Erb
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Bioactive peptides are key molecules in health and medicine. Deep learning holds a big promise for the discovery and design of bioactive peptides. Yet, suitable experimental approaches are required to validate candidates in high throughput a
Externí odkaz:
https://doaj.org/article/adbbacf7db9c45aca2f0981cf0f79344
Autor:
Amir Pandi, Christoph Diehl, Ali Yazdizadeh Kharrazi, Scott A. Scholz, Elizaveta Bobkova, Léon Faure, Maren Nattermann, David Adam, Nils Chapin, Yeganeh Foroughijabbari, Charles Moritz, Nicole Paczia, Niña Socorro Cortina, Jean-Loup Faulon, Tobias J. Erb
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Optimization of biological networks is often limited by wet lab labor and cost, and the lack of convenient computational tools. Here, aimed at democratization and standardization, the authors describe METIS, a modular and versatile active machine lea
Externí odkaz:
https://doaj.org/article/b8a33041772a47edb859903b3d19f8ed
Autor:
Amir Pandi, David Adam, Amir Zare, Van Tuan Trinh, Stefan L. Schaefer, Marie Wiegand, Björn Klabunde, Elizaveta Bobkova, Manish Kushwaha, Yeganeh Foroughijabbari, Peter Braun, Christoph Spahn, Christian Preußer, Elke Pogge von Strandmann, Helge B. Bode, Heiner von Buttlar, Wilhelm Bertrams, Anna Lena Jung, Frank Abendroth, Bernd Schmeck, Gerhard Hummer, Olalla Vázquez, Tobias J. Erb
Bioactive peptides are key molecules in health and medicine. Deep learning holds a big promise for the discovery and design of bioactive peptides. Yet, suitable experimental approaches are required to validate candidates in high throughput and at low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44cbb14b0d90f78a608609f0f89b09fa
https://doi.org/10.1101/2022.11.19.517184
https://doi.org/10.1101/2022.11.19.517184
Autor:
Amir Pandi, Christoph Diehl, Ali Yazdizadeh Kharrazi, Léon Faure, Scott A. Scholz, Maren Nattermann, David Adam, Nils Chapin, Yeganeh Foroughijabbari, Charles Moritz, Nicole Paczia, Niña Socorro Cortina, Jean-Loup Faulon, Tobias J. Erb
The study, engineering and application of biological networks require practical and efficient approaches. Current optimization efforts of these systems are often limited by wet lab labor and cost, as well as the lack of convenient, easily adoptable c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6d7f943d81b1fa6b31e5de6590d5c81
https://doi.org/10.1101/2021.12.28.474323
https://doi.org/10.1101/2021.12.28.474323