Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Amir Pandi"'
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
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Inducible gene expression systems should minimise leaky output and offer a large achievable range of expression. Here, the authors regulate transcription and translation together to suppress noise and create digital-like responses, while maintaining
Externí odkaz:
https://doaj.org/article/22f102bf191448c7a52806451b4bd2dc
Autor:
Olivier Borkowski, Mathilde Koch, Agnès Zettor, Amir Pandi, Angelo Cardoso Batista, Paul Soudier, Jean-Loup Faulon
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Cell-free lysates are a major platform for in vitro protein production but batch-to-batch variation makes production difficult to predict. Here the authors develop an active learning approach to optimising buffer conditions to bring homemade lysates
Externí odkaz:
https://doaj.org/article/94a3b8e52cf24f769347e3c91609b690
Autor:
Amir Pandi, Mathilde Koch, Peter L. Voyvodic, Paul Soudier, Jerome Bonnet, Manish Kushwaha, Jean-Loup Faulon
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-13 (2019)
So far, synthetic genetic circuits have relied on digital logic for information processing. Here the authors present metabolic perceptrons that use analog weighted adders to vary the contributions of multiple inputs, resulting in different classifica
Externí odkaz:
https://doaj.org/article/5f0e78829b1940c1802523d6a5e44de7
Autor:
Peter L. Voyvodic, Amir Pandi, Mathilde Koch, Ismael Conejero, Emmanuel Valjent, Philippe Courtet, Eric Renard, Jean-Loup Faulon, Jerome Bonnet
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-8 (2019)
The range of chemicals detectable by cell-free systems is still limited. Here the authors combine metabolic cascades with transcription factor networks to detect small molecules in complex environments.
Externí odkaz:
https://doaj.org/article/7ca68ba562fb4fcc835823e72894de74
Publikováno v:
Data in Brief, Vol 17, Iss , Pp 1374-1378 (2018)
The aim of this dataset is to identify and collect compounds that are known for being detectable by a living cell, through the action of a genetically encoded biosensor and is centred on bacterial transcription factors. Such a dataset should open the
Externí odkaz:
https://doaj.org/article/cec7bfd5645b48a591e12d07b5085ef6
Autor:
Sayed-Amir Marashi, Amir Pandi, Hossein Shariati, Hossein Zamani-Nasab, Narges Damavandi, Mahshid Heidari, Salma Sohrabi-Jahromi, Arvand Asghari, Saba Aslani, Narjes Nakhaee, Mohammad Hossein Moteallehi Ardakani
Publikováno v:
South African Journal of Science, Vol 111, Iss 3/4, Pp 1-3 (2013)
Classification of scientific publications is of great importance in biomedical research evaluation. However, accurate classification of research publications is challenging and normally is performed in a rather subjective way. In the present paper, w
Externí odkaz:
https://doaj.org/article/399dee3c00ce4bd7983e40702b99de24
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
Understanding how delivery and exchange of genetic information by bacteriophages shapes bacterial populations is important for designing applications for phage therapy, biocontrol, and microbiome engineering. Here, we present a synthetic intercellula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d26ac6aaa85e1f20b21065df0ec6794e
https://doi.org/10.1101/2022.05.11.491355
https://doi.org/10.1101/2022.05.11.491355