SpecReBoot: models, data, and results

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Authors: Laura Rosina Torres Ortega, Justin van der Hooft, Marnix H. Medema
Cited by: 0

Abstract

This record contains the trained models used for the machine learning–based similarity cores employed in SpecReBoot, including Spec2Vec and MS2DeepScore. For additional details on these models, please refer to the original releases: Spec2Vec: https://zenodo.org/records/15857387 MS2DeepScore: https://zenodo.org/records/17826815 The record also includes the annotated .gbk genome sequence file of Diaporthe caliensis used for biosynthetic gene cluster analyses. In addition, we provide the molecular networks generated in this study as .graphml files for the NIH Natural Products Library dataset, enabling direct reuse, inspection, and visualization in network analysis tools such as Cytoscape.

Fields of Study & Subjects

Microbial Natural Products and Biosynthesis Computational Drug Discovery Methods Microbial Metabolic Engineering and Bioproduction

Publication details

Journal / source
Socio-Environmental Systems Modeling
Publication date
3 February 2026
Document type
Dataset