Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Søren D, Petersen"'
Autor:
Søren D Petersen, Lucas Levassor, Christine M Pedersen, Jan Madsen, Lea G Hansen, Jie Zhang, Ahmad K Haidar, Rasmus J N Frandsen, Jay D Keasling, Tilmann Weber, Nikolaus Sonnenschein, Michael K Jensen
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011929 (2024)
Synthetic biology dictates the data-driven engineering of biocatalysis, cellular functions, and organism behavior. Integral to synthetic biology is the aspiration to efficiently find, access, interoperate, and reuse high-quality data on genotype-phen
Externí odkaz:
https://doaj.org/article/c2a8272c0f8f4e8583e467f28cf7f764
Autor:
Jie Zhang, Søren D. Petersen, Tijana Radivojevic, Andrés Ramirez, Andrés Pérez-Manríquez, Eduardo Abeliuk, Benjamín J. Sánchez, Zak Costello, Yu Chen, Michael J. Fero, Hector Garcia Martin, Jens Nielsen, Jay D. Keasling, Michael K. Jensen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
In metabolic engineering, mechanistic models require prior metabolism knowledge of the chassis strain, whereas machine learning models need ample training data. Here, the authors combine the mechanistic and machine learning models to improve predicti
Externí odkaz:
https://doaj.org/article/12b7d69682c04fc38cfe252ad2aedc1b
Publikováno v:
Petersen, C T, Langgaard, M K & Petersen, S D 2023, ' Yield prediction in spring barley from spectral reflectance and weather data using machine learning ', Soil Use and Management, vol. 39, no. 2, pp. 975-987 . https://doi.org/10.1111/sum.12902
Accurate preharvest yield estimation is an important issue for agricultural planning purposes and precision farming. Machine learning (ML) based on readily obtained information on the cropping system, typically including spectral reflectance measurem
Autor:
Amanda B, Abildgaard, Vasileios, Voutsinos, Søren D, Petersen, Fia B, Larsen, Caroline, Kampmeyer, Kristoffer E, Johansson, Amelie, Stein, Tommer, Ravid, Claes, Andréasson, Michael K, Jensen, Kresten, Lindorff-Larsen, Rasmus, Hartmann-Petersen
Publikováno v:
Cellular and molecular life sciences : CMLS. 80(1)
Protein quality control (PQC) degrons are short protein segments that target misfolded proteins for proteasomal degradation, and thus protect cells against the accumulation of potentially toxic non-native proteins. Studies have shown that PQC degrons
Publikováno v:
SSRN Electronic Journal.
Autor:
Michael Krogh Jensen, Jens Nielsen, Jie Zhang, Eduardo Abeliuk, Zak Costello, Andrés Ramirez, Andrés Pérez-Manríquez, Benjamin Sanchez, Søren D. Petersen, Jay D. Keasling, Hector Garcia Martin, Michael J. Fero, Tijana Radivojevic, Yu Chen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Nature Communications
Nature communications, vol 11, iss 1
Zhang, J, Petersen, S D, Radivojevic, T, Ramirez, A, Pérez-Manríquez, A, Abeliuk, E, Sánchez, B J, Costello, Z, Chen, Y, Fero, M J, Martin, H G, Nielsen, J, Keasling, J D & Jensen, M K 2020, ' Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism ', Nature Communications, vol. 11, no. 1, 4880 . https://doi.org/10.1038/s41467-020-17910-1
Nature Communications
Nature communications, vol 11, iss 1
Zhang, J, Petersen, S D, Radivojevic, T, Ramirez, A, Pérez-Manríquez, A, Abeliuk, E, Sánchez, B J, Costello, Z, Chen, Y, Fero, M J, Martin, H G, Nielsen, J, Keasling, J D & Jensen, M K 2020, ' Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism ', Nature Communications, vol. 11, no. 1, 4880 . https://doi.org/10.1038/s41467-020-17910-1
Through advanced mechanistic modeling and the generation of large high-quality datasets, machine learning is becoming an integral part of understanding and engineering living systems. Here we show that mechanistic and machine learning models can be c
Autor:
Amanda B. Abildgaard, Vasileios Voutsinos, Søren D. Petersen, Fia B. Larsen, Caroline Kampmeyer, Kristoffer E. Johansson, Amelie Stein, Tommer Ravid, Claes Andréasson, Michael K. Jensen, Kresten Lindorff-Larsen, Rasmus Hartmann-Petersen
Publikováno v:
Abildgaard, A B, Voutsinos, V, Petersen, S D, Larsen, F B, Kampmeyer, C, Johansson, K E, Stein, A, Ravid, T, Andréasson, C, Jensen, M K, Lindorff-Larsen, K & Hartmann-Petersen, R 2023, ' HSP70-binding motifs function as protein quality control degrons ', Cellular and Molecular Life Sciences, vol. 80, no. 1, 32 . https://doi.org/10.1007/s00018-022-04679-3
Protein quality control (PQC) degrons are short protein segments that target misfolded proteins for proteasomal degradation, and thus protect cells against the accumulation of potentially toxic non-native proteins. Studies have shown that PQC degrons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c283e2cc627409cb35f0dac05b2da4ff
https://doi.org/10.1101/2021.12.22.473789
https://doi.org/10.1101/2021.12.22.473789
Autor:
Rasmus U.W. Friis, Andrea Martos-Esteban, Søren D. Petersen, Andreas Hougaard Laustsen, Søren Helweg Dam
Publikováno v:
Dam, S H, Friis, R U W, Petersen, S D, Martos-Esteban, A & Laustsen, A H 2018, ' Snake Venomics Display: An online toolbox for visualization of snake venomics data ', Toxicon, vol. 152, pp. 60-64 . https://doi.org/10.1016/j.toxicon.2018.07.019
With the introduction of powerful mass spectrometry equipment into the field of snake venom proteomics, a large body of venomics data is accumulating. To allow for better comparison between venom compositions from different snake species and to provi
Autor:
Zak Costello, Søren D. Petersen, Tijana Radivojevic, H. Garcia Martin, Michael Krogh Jensen, Eduardo Abeliuk, Jens Nielsen, Jingdong Zhang, Jay D. Keasling, Yun Chen, Benjamin Sanchez, A. Pérez, A. Ramirez, Michael J. Fero
Publikováno v:
BIRD: BCAM's Institutional Repository Data
instname
instname
SUMMARYIn combination with advanced mechanistic modeling and the generation of high-quality multi-dimensional data sets, machine learning is becoming an integral part of understanding and engineering living systems. Here we show that mechanistic and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9d0ca78686eb214e60cc936e2389b36
Autor:
Luisa S. Gronenberg, Hans Jasper Genee, Anne Pihl Bali, Mads Bonde, Mette Kristensen, Solvej Siedler, Morten Otto Alexander Sommer, Scott James Harrison, Søren D. Petersen
Publikováno v:
Nature Chemical Biology. 12:1015-1022
Only 25% of bacterial membrane transporters have functional annotation owing to the difficulty of experimental study and of accurate prediction of their function. Here we report a sequence-independent method for high-throughput mining of novel transp