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105 results for Lercher,+Martin+J.

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ArticlesPeer ReviewedFull Text
Deep learning allows genome-scale prediction of Michaelis constants from structural features
Author / Creator:Kroll, Alexander ; Engqvist, Martin K. M. ; Heckmann, David ; Lercher, Martin J.
Publisher:United States: Public Library of Science
Journal title:PLoS biology, 2021-10, Vol.19 (10), p.e3001402
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An analytical theory of balanced cellular growth
Author / Creator:Dourado, Hugo ; Lercher, Martin J.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2020-03, Vol.11 (1), p.1226-14, Article 1226
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A general model to predict small molecule substrates of enzymes based on machine and deep learning
Author / Creator:Kroll, Alexander ; Ranjan, Sahasra ; Engqvist, Martin K. M. ; Lercher, Martin J.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2023-05, Vol.14 (1), p.2787-13, Article 2787
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Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning
Author / Creator:Kroll, Alexander ; Rousset, Yvan ; Hu, Xiao-Pan ; Liebrand, Nina A. ; Lercher, Martin J.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2023-07, Vol.14 (1), p.4139-14, Article 4139
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Optimal density of bacterial cells
Author / Creator:Pang, Tin Yau ; Lercher, Martin J.
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2023-06, Vol.19 (6), p.e1011177
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An optimal growth law for RNA composition and its partial implementation through ribosomal and tRNA gene locations in bacterial genomes
Author / Creator:Hu, Xiao-Pan ; Lercher, Martin J.
Publisher:United States: Public Library of Science
Journal title:PLoS genetics, 2021-11, Vol.17 (11), p.e1009939
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On the optimality of the enzyme–substrate relationship in bacteria
Author / Creator:Dourado, Hugo ; Mori, Matteo ; Hwa, Terence ; Lercher, Martin J.
Publisher:United States: Public Library of Science
Journal title:PLoS biology, 2021-10, Vol.19 (10), p.e3001416
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Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models
Author / Creator:Heckmann, David ; Lloyd, Colton J ; Mih, Nathan ; Ha, Yuanchi ; Zielinski, Daniel C ; Haiman, Zachary B ; Abdelmoneim Amer Desouki ; Lercher, Martin J ; Palsson, Bernhard O
Publisher:London: Nature Publishing Group
Journal title:Nature communications, 2018-12, Vol.9, p.1-10
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ArticlesPeer ReviewedFull Text
The protein translation machinery is expressed for maximal efficiency in Escherichia coli
Author / Creator:Hu, Xiao-Pan ; Dourado, Hugo ; Schubert, Peter ; Lercher, Martin J.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2020-10, Vol.11 (1), p.5260-10, Article 5260
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ArticlesPeer ReviewedFull Text
What puzzle are you in?
Author / Creator:Yanai, Itai ; Lercher, Martin J.
Publisher:London: BioMed Central Ltd
Journal title:Genome Biology, 2022-08, Vol.23 (1), p.1-8, Article 179
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A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships
Author / Creator:Kroll, Alexander ; Ranjan, Sahasra ; Lercher, Martin J.
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2024-05, Vol.20 (5), p.e1012100
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Mathematical properties of optimal fluxes in cellular reaction networks at balanced growth
Author / Creator:Dourado, Hugo ; Liebermeister, Wolfram ; Ebenhöh, Oliver ; Lercher, Martin J.
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2023-06, Vol.19 (6), p.e1011156
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ArticlesPeer ReviewedFull Text
Energy efficiency trade-offs drive nucleotide usage in transcribed regions
Author / Creator:Chen, Wei-Hua ; Lu, Guanting ; Bork, Peer ; Hu, Songnian ; Lercher, Martin J.
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2016-04, Vol.7 (1), p.11334-10, Article 11334
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ArticlesPeer ReviewedFull Text
Erroneous energy-generating cycles in published genome scale metabolic networks: Identification and removal
Author / Creator:Fritzemeier, Claus Jonathan ; Hartleb, Daniel ; Szappanos, Balázs ; Papp, Balázs ; Lercher, Martin J.
Publisher:United States: Public Library of Science
Journal title:PLoS computational biology, 2017-04, Vol.13 (4), p.e1005494
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ArticlesPeer ReviewedFull Text
Gene Transfer from Bacteria and Archaea Facilitated Evolution of an Extremophilic Eukaryote
Author / Creator:Schönknecht, Gerald ; Chen, Wei-Hua ; Ternes, Chad M. ; Barbier, Guillaume G. ; Shrestha, Roshan P. ; Stanke, Mario ; Bräutigam, Andrea ; Baker, Brett J. ; Banfield, Jillian F. ; Garavito, R. Michael ; Carr, Kevin ; Wilkerson, Curtis ; Rensing, Stefan A. ; Gagneul, David ; Dickenson, Nicholas E. ; Oesterhelt, Christine ; Lercher, Martin J. ; Weber, Andreas P. M.
Publisher:United States: American Association for the Advancement of Science
Journal title:Science (American Association for the Advancement of Science), 2013-03, Vol.339 (6124), p.1207-1210
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ArticlesPeer ReviewedFull Text
Minimal regulatory spaces in yeast genomes
Author / Creator:Chen, Wei-Hua ; Wei, Wu ; Lercher, Martin J
Publisher:England: BioMed Central Ltd
Journal title:BMC genomics, 2011-06, Vol.12 (1), p.320-320, Article 320
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ArticlesPeer ReviewedFull Text
Growth‐mediated negative feedback shapes quantitative antibiotic response
Author / Creator:Angermayr, S Andreas ; Pang, Tin Yau ; Chevereau, Guillaume ; Mitosch, Karin ; Lercher, Martin J ; Bollenbach, Tobias
Publisher:London: Nature Publishing Group UK
Journal title:Molecular systems biology, 2022-09, Vol.18 (9), p.e10490-n/a
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ArticlesPeer ReviewedFull Text
Modeling photosynthetic resource allocation connects physiology with evolutionary environments
Author / Creator:Sundermann, Esther M. ; Lercher, Martin J. ; Heckmann, David
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2021-08, Vol.11 (1), p.15979-15, Article 15979
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The role of photorespiration during the evolution of C4 photosynthesis in the genus Flaveria
Author / Creator:Mallmann, Julia ; Heckmann, David ; Bräutigam, Andrea ; Lercher, Martin J ; Weber, Andreas PM ; Westhoff, Peter ; Gowik, Udo
Publisher:England: eLife Sciences Publications Ltd
Journal title:eLife, 2014-06, Vol.3, p.e02478
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Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast
Author / Creator:Alzoubi, Deya ; Desouki, Abdelmoneim Amer ; Lercher, Martin J.
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2019-08, Vol.9 (1), p.11837-9, Article 11837
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Showing 1 to 20 of 105 results

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

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An analytical theory of balanced cellular growth

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

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Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning

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Optimal density of bacterial cells

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An optimal growth law for RNA composition and its partial implementation through ribosomal and tRNA gene locations in bacterial genomes

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On the optimality of the enzyme–substrate relationship in bacteria

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Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

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The protein translation machinery is expressed for maximal efficiency in Escherichia coli

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What puzzle are you in?

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A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships

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Mathematical properties of optimal fluxes in cellular reaction networks at balanced growth

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Energy efficiency trade-offs drive nucleotide usage in transcribed regions

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Erroneous energy-generating cycles in published genome scale metabolic networks: Identification and removal

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Gene Transfer from Bacteria and Archaea Facilitated Evolution of an Extremophilic Eukaryote

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Minimal regulatory spaces in yeast genomes

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Growth‐mediated negative feedback shapes quantitative antibiotic response

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Modeling photosynthetic resource allocation connects physiology with evolutionary environments

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The role of photorespiration during the evolution of C4 photosynthesis in the genus Flaveria

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Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast

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