Avlant Nilsson

Showing 17 publications

2024

AutoTransOP: translating omics signatures without orthologue requirements using deep learning

Nikolaos Meimetis, Krista M. Pullen, Daniel Y. Zhu et al
NPJ systems biology and applications. Vol. 10 (1)
Journal article
2024

Inference of drug off-target effects on cellular signaling using interactome-based deep learning

Nikolaos Meimetis, Douglas A. Lauffenburger, Avlant Nilsson
iScience. Vol. 27 (4)
Journal article
2022

Cancer-Associated Fibroblasts and Squamous Epithelial Cells Constitute a Unique Microenvironment in a Mouse Model of Inflammation-Induced Colon Cancer

Paige N. Vega, Avlant Nilsson, Manu P. Kumar et al
Frontiers in Oncology. Vol. 12
Journal article
2022

Artificial neural networks enable genome-scale simulations of intracellular signaling

Avlant Nilsson, Joshua M. Peters, Nikolaos Meimetis et al
Nature Communications. Vol. 13 (1)
Journal article
2020

An atlas of human metabolism

Jonathan Robinson, Pinar Kocabas, Hao Wang et al
Science signaling. Vol. 13 (624)
Journal article
2020

Quantitative analysis of amino acid metabolism in liver cancer links glutamate excretion to nucleotide synthesis

Avlant Nilsson, J. R. Haanstra, Martin Engqvist et al
Proceedings of the National Academy of Sciences of the United States of America. Vol. 117 (19), p. 10294-10304
Journal article
2019

Complex I is bypassed during high intensity exercise

Avlant Nilsson, Elias Björnson, Mikael Flockhart et al
Nature Communications. Vol. 10 (1)
Journal article
2018

Metabolite Depletion Affects Flux Profiling of Cell Lines

Avlant Nilsson, J. R. Haanstra, B. Teusink et al
Trends in Biochemical Sciences. Vol. 43 (6), p. 395-397
Other text in scientific journal
2018

Recon3D enables a three-dimensional view of gene variation in human metabolism

Elizabeth Brunk, S. Sahoo, Daniel C. Zielinski et al
Nature Biotechnology. Vol. 36 (3), p. 272-281
Journal article
2017

Metabolic Models of Protein Allocation Call for the Kinetome

Avlant Nilsson, Jens B Nielsen, Bernhard O Palsson
Cell Systems. Vol. 5 (6), p. 538-541
Other text in scientific journal
2017

Predicting growth of the healthy infant using a genome scale metabolic model.

Avlant Nilsson, Adil Mardinoglu, Jens B Nielsen
npj Systems Biology and Applications. Vol. 3, p. 3-
Journal article
2017

Improving the phenotype predictions of a yeast genome-scale metabolic model by incorporating enzymatic constraints

Benjamin José Sanchez Barja, C. Zhang, Avlant Nilsson et al
Molecular Systems Biology. Vol. 13 (8), p. Article no 935 -
Journal article
2017

Genome scale metabolic modeling of cancer

Avlant Nilsson, Jens B Nielsen
Metabolic Engineering. Vol. 43, p. 103-112
Review article
2016

Metabolic Trade-offs in Yeast are Caused by F1F0-ATP synthase

Avlant Nilsson, Jens B Nielsen
Scientific Reports. Vol. 6
Journal article
2014

A dedicated database system for handling multi-level data in systems biology

Natapol Pornputtapong, Kwanjeera Wanichthanarak, Avlant Nilsson et al
Source Code for Biology and Medicine. Vol. 9 (1)
Journal article
2014

BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data

Manuel Garcia, Subazini Thankaswamy, Avlant Nilsson et al
Nucleic Acids Research. Vol. 42 (W1), p. W175-W181
Journal article

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Showing 2 research projects

2020–2023

Deep Learning the Immune System

Ivan Mijakovic Systems and Synthetic Biology
Avlant Nilsson Systems and Synthetic Biology
Swedish Research Council (VR)

1 publication exists
2014–2018

Integrating Modelling of Metabolism and Signalling towards an Application in Liver Cancer (ERASysAPP - IMOMESIC)

Jens B Nielsen Biology and Biological Engineering
Avlant Nilsson Systems and Synthetic Biology
Adil Mardinoglu Systems and Synthetic Biology
Swedish Research Council (VR)

1 publication exists
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