Evolution-Guided Engineering of Trans-Acyltransferase Polyketide Synthases
Authors/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
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.
Files
Files
(11.0 GB)
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Additional details
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