Engqvist MKM - Search Results

1

A general model to predict small molecule substrates of enzymes based on machine and deep learning.

Kroll A, Ranjan S, Engqvist MKM, Lercher MJ. Kroll A, et al. Among authors: engqvist mkm. Nat Commun. 2023 May 15;14(1):2787. doi: 10.1038/s41467-023-38347-2. Nat Commun. 2023. PMID: 37188731 Free PMC article.

2

Deep learning allows genome-scale prediction of Michaelis constants from structural features.

Kroll A, Engqvist MKM, Heckmann D, Lercher MJ. Kroll A, et al. Among authors: engqvist mkm. PLoS Biol. 2021 Oct 19;19(10):e3001402. doi: 10.1371/journal.pbio.3001402. eCollection 2021 Oct. PLoS Biol. 2021. PMID: 34665809 Free PMC article.

3

Mitochondrial 2-hydroxyglutarate metabolism.

Engqvist MK, Eßer C, Maier A, Lercher MJ, Maurino VG. Engqvist MK, et al. Mitochondrion. 2014 Nov;19 Pt B:275-81. doi: 10.1016/j.mito.2014.02.009. Epub 2014 Feb 21. Mitochondrion. 2014. PMID: 24561575 Review.

4

Machine Learning Applied to Predicting Microorganism Growth Temperatures and Enzyme Catalytic Optima.

Li G, Rabe KS, Nielsen J, Engqvist MKM. Li G, et al. Among authors: engqvist mkm. ACS Synth Biol. 2019 Jun 21;8(6):1411-1420. doi: 10.1021/acssynbio.9b00099. Epub 2019 Jun 7. ACS Synth Biol. 2019. PMID: 31117361

5

Learning deep representations of enzyme thermal adaptation.

Li G, Buric F, Zrimec J, Viknander S, Nielsen J, Zelezniak A, Engqvist MKM. Li G, et al. Among authors: engqvist mkm. Protein Sci. 2022 Dec;31(12):e4480. doi: 10.1002/pro.4480. Protein Sci. 2022. PMID: 36261883 Free PMC article.

6

Archaerhodopsin variants with enhanced voltage-sensitive fluorescence in mammalian and Caenorhabditis elegans neurons.

Flytzanis NC, Bedbrook CN, Chiu H, Engqvist MK, Xiao C, Chan KY, Sternberg PW, Arnold FH, Gradinaru V. Flytzanis NC, et al. Nat Commun. 2014 Sep 15;5:4894. doi: 10.1038/ncomms5894. Nat Commun. 2014. PMID: 25222271 Free PMC article.

7

Biochemical control systems for small molecule damage in plants.

Hüdig M, Schmitz J, Engqvist MKM, Maurino VG. Hüdig M, et al. Among authors: engqvist mkm. Plant Signal Behav. 2018;13(5):e1477906. doi: 10.1080/15592324.2018.1477906. Epub 2018 Jun 26. Plant Signal Behav. 2018. PMID: 29944438 Free PMC article.

8

Experimental and computational investigation of enzyme functional annotations uncovers misannotation in the EC 1.1.3.15 enzyme class.

Rembeza E, Engqvist MKM. Rembeza E, et al. Among authors: engqvist mkm. PLoS Comput Biol. 2021 Sep 23;17(9):e1009446. doi: 10.1371/journal.pcbi.1009446. eCollection 2021 Sep. PLoS Comput Biol. 2021. PMID: 34555022 Free PMC article.

9

Correlating enzyme annotations with a large set of microbial growth temperatures reveals metabolic adaptations to growth at diverse temperatures.

Engqvist MKM. Engqvist MKM. BMC Microbiol. 2018 Nov 6;18(1):177. doi: 10.1186/s12866-018-1320-7. BMC Microbiol. 2018. PMID: 30400856 Free PMC article.

10

CAZyme prediction in ascomycetous yeast genomes guides discovery of novel xylanolytic species with diverse capacities for hemicellulose hydrolysis.

Ravn JL, Engqvist MKM, Larsbrink J, Geijer C. Ravn JL, et al. Among authors: engqvist mkm. Biotechnol Biofuels. 2021 Jul 2;14(1):150. doi: 10.1186/s13068-021-01995-x. Biotechnol Biofuels. 2021. PMID: 34215291 Free PMC article.

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