Published February 13, 2024 | Version v4
Dataset Open

Evolution-Guided Engineering of Trans-Acyltransferase Polyketide Synthases

Creators

  • 1. Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Vladimir-Prelog-Weg 4, 8093 Zürich, Switzerland
  • 2. Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Vladimir-Prelog-Weg 4, 8093 Zürich, Switzerland; Chemical Biology Program, Chulabhorn Graduate Institute, Chulabhorn Royal Academy, Bangkok 10210, Thailand
  • 3. Institute for Biological Sciences, University of Rostock, Albert-Einstein-Straße 3, 18059 Rostock, Germany
  • 4. Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115, United States; Department of Chemistry, Vanderbilt University, 1234 Stevenson Center Lane, Nashville, Tennessee 37240, United States; Department of Biological Sciences, Vanderbilt University, 465 21st Avenue S, Nashville, Tennesee 37232, United States.

Description

Data underlying the manuscript 'Evolution-Guided Engineering of Trans-Acyltransferase Polyketide Synthases' by Mabesoone, Leopold-Messer and Minas et al.

The repository contains:

Sequencing data - Genbanks files of construct designs, ab1 and fasta files for Sanger sequencing. For whole plasmid sequencing, fasta, annotated GenBank files, overviews of sequencing statistics and fastq files for selected plasmids, for which fastq files were provided by the sequencing service, are provided.

NMR data - raw data and MestReNova files. Also includes HPLC-MS traces of isolated compounds.

HPLC-MS data - Raw data collected on Thermo-Fisher instruments. This data can be analyzed with the Xcalibur software suite. The mzXML data can be analyzed with the Python scripts provided in the scripts folder to generate the images shown in the SI. The data collected for Bacillus and Serratia is MS1 data. The data collected for Gynuella also contains MS-MS data.

SCA data - Python scripts, GenBank files and produced data underlying the SCA.

Bioactivity data - Data underlying the toxicity assays in Figure S122.

 

Files

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Additional details

Related works

Is published in
Journal article: 10.1126/science.adj7621 (DOI)

Funding

National Institutes of Health
Machine learning approaches for the discovery, repurposing, and optimization of natural products with therapeutic potential 1R35GM146987-01
Swiss National Science Foundation
Investigating and utilizing uncultivated bacteria as a rich resource of bioactive natural products 205320_185077
European Commission
PrediKSion - PrediKSion: An evolutionary guided and experimentally validated computational pipeline to unravel new polyketide synthase functionality 101022873
Swiss National Science Foundation
Understanding and exploiting oxidative modifications by modular polyketide synthases 205321L_197245
European Commission
SynPlex - Tailored chemical complexity through evolution-inspired synthetic biology 742739

Dates

Updated
2024-02-13
Update for revisions.