Martin J Lercher (Martin Lercher)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Venues

PLoS computational biology

Nature communications

Nature biotechnology

Scientific reports

Heinrich Heine University Düsseldorf

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Heinrich Heine University Düsseldorf

Germany

Prof. :: Dept. of Biology and Institute for Computer Science

Publications

Alexander Kroll, Sahasra Ranjan, Martin J Lercher
A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships. PLoS computational biology 20 (5) (2024)
Itai Yanai, Martin J Lercher
It takes two to think. Nature biotechnology 42 (1) (2024)
Itai Yanai, Martin J Lercher
It takes two to think. Nature biotechnology (2024)
Alexander Kroll, Sahasra Ranjan, Martin J Lercher
A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships. PLoS computational biology 20 (5) (2024)
Itai Yanai, Martin J Lercher
It takes two to think. Nature biotechnology 42 (1) (2024)
Alexander Kroll, Sahasra Ranjan, Martin J Lercher
A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships. PLoS computational biology 20 (5) (2024)
Itai Yanai, Martin J Lercher
Make science disruptive again. Nature biotechnology (2023)
Hugo Dourado, Wolfram Liebermeister, Oliver Ebenhöh, Martin J Lercher
Mathematical properties of optimal fluxes in cellular reaction networks at balanced growth. PLoS computational biology 19 (6) (2023)
Xiao-Pan Hu, Stefan Schroeder, Martin J Lercher
Proteome efficiency of metabolic pathways in Escherichia coli increases along the nutrient flow. mSystems (2023)
Alexander Kroll, Yvan Rousset, Xiao-Pan Hu, Nina A Liebrand, Martin J Lercher
Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning. Nature communications 14 (1) (2023)
Alexander Kroll, Sahasra Ranjan, Martin K M Engqvist, Martin J Lercher
A general model to predict small molecule substrates of enzymes based on machine and deep learning. Nature communications 14 (1) (2023)
Alexander Kroll, Sahasra Ranjan, Martin K M Engqvist, Martin J Lercher
A general model to predict small molecule substrates of enzymes based on machine and deep learning. Nature communications 14 (1) (2023)
Tin Yau Pang, Martin J Lercher
Optimal density of bacterial cells. PLoS computational biology 19 (6) (2023)
Alexander Kroll, Sahasra Ranjan, Martin K M Engqvist, Martin J Lercher
A general model to predict small molecule substrates of enzymes based on machine and deep learning. Nature communications 14 (1) (2023)
Manuel Balparda, Jessica Schmitz, Martin Duemmel, Isabell C Wuthenow, Marc Schmidt, Saleh Alseekh, Alisdair Robert Fernie, Martin J Lercher, Verónica G Maurino
Two plant glyoxalase systems with different evolutionary origins detoxify diverse reactive carbonyl species. Plant physiology (2022)
S Andreas Angermayr, Tin Yau Pang, Guillaume Chevereau, Karin Mitosch, Martin J Lercher, Tobias Bollenbach
Growth-mediated negative feedback shapes quantitative antibiotic response. Molecular systems biology 18 (9) (2022)
Xiao-Pan Hu, Martin J Lercher
An optimal growth law for RNA composition and its partial implementation through ribosomal and tRNA gene locations in bacterial genomes. PLoS genetics 17 (11) (2021)
Alexander Kroll, Martin K M Engqvist, David Heckmann, Martin J Lercher
Deep learning allows genome-scale prediction of Michaelis constants from structural features. PLoS biology 19 (10) (2021)
Jacob Moe-Lange, Nicoline M Gappel, Mackenzie Machado, Michael M Wudick, Cosima S A Sies, Stephan N Schott-Verdugo, Michele Bonus, Swastik Mishra, Thomas Hartwig, Margaret Bezrutczyk, Debarati Basu, Edward E Farmer, Holger Gohlke, Andrey Victorovich Malkovskiy, Elizabeth S Haswell, Martin J Lercher, David W Ehrhardt, Wolf B Frommer, Thomas J Kleist
Interdependence of a mechanosensitive anion channel and glutamate receptors in distal wound signaling. Science advances 7 (37) (2021)
Hugo Dourado, Matteo Mori, Terence Hwa, Martin J Lercher
On the optimality of the enzyme-substrate relationship in bacteria. PLoS biology 19 (10) (2021)
Xiao-Pan Hu, Hugo Dourado, Peter Schubert, Martin J Lercher
The protein translation machinery is expressed for maximal efficiency in Escherichia coli. Nature communications 11 (1) (2020)
Hugo Dourado, Martin J Lercher
An analytical theory of balanced cellular growth. Nature communications 11 (1) (2020)
Dipali Singh, Martin J Lercher
Network reduction methods for genome-scale metabolic models. Cellular and molecular life sciences : CMLS 77 (3) (2019)
Deya Alzoubi, Abdelmoneim Amer Desouki, Martin J Lercher
Flux balance analysis with or without molecular crowding fails to predict two thirds of experimentally observed epistasis in yeast. Scientific reports 9 (1) (2019)
Clarisa E Alvarez, Anastasiia Bovdilova, Astrid Höppner, Christian-Claus Wolff, Mariana Saigo, Felipe Trajtenberg, Tao Zhang, Alejandro Buschiazzo, Luitgard Nagel-Steger, María Fabiana Drincovich, Martin J Lercher, Verónica G Maurino
Molecular adaptations of NADP-malic enzyme for its function in C4 photosynthesis in grasses. Nature plants 5 (7) (2019)
Deya Alzoubi, Abdelmoneim Amer Desouki, Martin J Lercher
Alleles of a gene differ in pleiotropy, often mediated through currency metabolite production, in E. coli and yeast metabolic simulations. Scientific reports 8 (1) (2018)
Tin Yau Pang, Martin J Lercher
Each of 3,323 metabolic innovations in the evolution of E. coli arose through the horizontal transfer of a single DNA segment. Proceedings of the National Academy of Sciences of the United States of America 116 (1) (2018)
David Heckmann, Colton J Lloyd, Nathan Mih, Yuanchi Ha, Daniel C Zielinski, Zachary B Haiman, Abdelmoneim Amer Desouki, Martin J Lercher, Bernhard O Palsson
Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models. Nature communications 9 (1) (2018)
Claus Jonathan Fritzemeier, Daniel Hartleb, Balazs Szappanos, Balázs Papp, Martin J Lercher
Erroneous energy-generating cycles in published genome scale metabolic networks: Identification and removal. PLoS computational biology 13 (4) (2017)
Hua Jin, Xiaoyun Lu, Jing Ni, Jinfang Sun, Bin Gu, Bo Ding, Haixia Zhu, Chao Ma, Mengjing Cui, Yuling Xu, Zhengdong Zhang, Martin J Lercher, Jian Chen, Na Gao, Shizhi Wang
HOTAIR rs7958904 polymorphism is associated with increased cervical cancer risk in a Chinese population. Scientific reports 7 (1) (2017)
Na Gao, Guanting Lu, Martin J Lercher, Wei-Hua Chen
Selection for energy efficiency drives strand-biased gene distribution in prokaryotes. Scientific reports 7 (1) (2017)
Daniel Hartleb, Florian Jarre, Martin J Lercher
Improved Metabolic Models for E. coli and Mycoplasma genitalium from GlobalFit, an Algorithm That Simultaneously Matches Growth and Non-Growth Data Sets. PLoS computational biology 12 (8) (2016)

Martin J Lercher.css-eqlu8i{font-size:small;padding-left:4px;} (Martin Lercher)

Publication Activity (10 Years)

Top Topics

Top Venues

Martin J Lercher (Martin Lercher)