Publications de Jasmin Maria Hafner

Publications associées (10)

Modeling, predicting and mining metabolism at atom-level resolution

Living organisms can catalyze many thousands of biochemical reactions that they use to convert energy and matter, which provides them with the essentials for life. The sum of these chemical reactions happening in an organism is called metabo-lism. Understa ...

EPFL2020

Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx

Vassily Hatzimanikatis, Jasmin Maria Hafner, Anastasia Sveshnikova

Metabolic "dark matter" describes currently unknown metabolic processes, which form a blind spot in our general understanding of metabolism and slow down the development of biosynthetic cell factories and naturally derived pharmaceuticals. Mapping the dark ...

Nature Portfolio2022

A computational workflow for the expansion of heterologous biosynthetic pathways to natural product derivatives

Vassily Hatzimanikatis, Jasmin Maria Hafner

Plant natural products (PNPs) and their derivatives are important but underexplored sources of pharmaceutical molecules. To access this untapped potential, the reconstitution of heterologous PNP biosynthesis pathways in engineered microbes provides a valua ...

Nature Research2021

NICEdrug.ch, a workflow for rational drug design and systems-level analysis of drug metabolism

Vassily Hatzimanikatis, Noushin Hadadi, Jasmin Maria Hafner, Anush Chiappino-Pepe, Homa Mohammadi Peyhani

The discovery of a drug requires over a decade of intensive research and financial investments – and still has a high risk of failure. To reduce this burden, we developed the NICEdrug.ch resource, which incorporates 250,000 bioactive molecules, and studied ...

2021

ATLAS of Biochemistry: A Repository of All Possible Biochemical Reactions for Synthetic Biology and Metabolic Engineering Studies

Vassily Hatzimanikatis, Noushin Hadadi, Adrian Shajkofci, Jasmin Maria Hafner, Aikaterini Zisaki

Because the complexity of metabolism cannot be intuitively understood or analyzed, computational methods are indispensable for studying biochemistry and deepening our understanding of cellular metabolism to promote new discoveries. We used the computationa ...

Amer Chemical Soc2016

NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate-product pairs

Vassily Hatzimanikatis, Jasmin Maria Hafner

Motivation: Finding biosynthetic pathways is essential for metabolic engineering of organisms to produce chemicals, biodegradation prediction of pollutants and drugs, and for the elucidation of bioproduction pathways of secondary metabolites. A key step in ...

Oxford University Press2021

Updated ATLAS of Biochemistry with New Metabolites and Improved Enzyme Prediction Power

Vassily Hatzimanikatis, Jasmin Maria Hafner, Anastasia Sveshnikova, Alan Scheidegger

The ATLAS of Biochemistry is a repository of both known and novel predicted biochemical reactions between biological compounds listed in the Kyoto Encyclopedia of Genes and Genomes (KEGG). ATLAS was originally compiled based on KEGG 2015, though the number ...

AMER CHEMICAL SOC2020

Reconstruction of biological pathways and metabolic networks from in silico labeled metabolites

Vassily Hatzimanikatis, Noushin Hadadi, Jasmin Maria Hafner, Keng Cher Soh

Reaction atom mappings track the positional changes of all of the atoms between the substrates and the products as they undergo the biochemical transformation. However, information on atom transitions in the context of metabolic pathways is not widely avai ...

Wiley-V C H Verlag Gmbh2017

Principles of Systems Biology, No. 11

Vassily Hatzimanikatis, Noushin Hadadi, Jasmin Maria Hafner

This month: AI that learns patterns and facts, new protein-RNA and protein-protein relationships, engineering signaling and metabolism, and more variants of Cas9. ...

Cell Press2016

A workflow for annotating the knowledge gaps in metabolic reconstructions using known and hypothetical reactions

Vassily Hatzimanikatis, Meriç Ataman, Noushin Hadadi, Jasmin Maria Hafner, Anush Chiappino-Pepe, Homa Mohammadi Peyhani, Evangelia Vagena

Advances in medicine and biotechnology rely on a deep understanding of biological processes. Despite the increasingly available types and amounts of omics data, significant knowledge gaps remain, with current approaches to identify and curate missing annot ...

National Academy of Sciences2022