Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–5 of 5 results
Advanced filters: Author: Maren Nattermann Clear advanced filters

  • Available enzymatic CO2 reduction strategies are not suitable for aerobic microorganisms and many industrial settings. Here, the authors design a new metabolic pathway that can operate under fully aerobic conditions, ambient CO2 levels, and seamlessly integrate with well-established C1-assimilation pathways.

    • Ari Satanowski
    • Daniel G. Marchal
    • Tobias J. Erb
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-18

  • 2-Hydroxyacyl-CoA lyase/synthase (HACL/S) is known to catalyze the condensation of formyl-CoA with aldehydes or ketones, however, the mechanism of one-carbon elongation biochemistry is not well understood. Here, the authors report the structures of enzymes in complex with co-factors, substrates, and products, revealing key intermediates and the C-terminal active site region, and distinguishing them from related sub-families.

    • Youngchang Kim
    • Seung Hwan Lee
    • Andrzej Joachimiak
    ResearchOpen Access
    Communications Chemistry
    Volume: 7, P: 1-10

  • A key step in the assimilation of formate is its reduction into formaldehyde. Here, the authors develop a two-enzyme route in which formate is activated into formyl phosphate and reduced by NAD(P)H into formaldehyde and confirm its functionality in vitro and in vivo.

    • Maren Nattermann
    • Sebastian Wenk
    • Tobias J. Erb
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • Optimization of biological networks is often limited by wet lab labor and cost, and the lack of convenient computational tools. Here, aimed at democratization and standardization, the authors describe METIS, a modular and versatile active machine learning workflow with a simple online interface for the optimization of biological target functions with minimal experimental datasets.

    • Amir Pandi
    • Christoph Diehl
    • Tobias J. Erb
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15