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My Research

I work at the interface of synthetic biology and computational biology,

decoding and expanding genome functions that introduce new chemistries in cells.

I will establish a leading research group focused on

developing computational and experimental cellular engineering tools

for the understanding and engineering of cellular functions with expanded codes.

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We will employ fundamental synthetic biology, metabolic engineering, and machine learning approaches.

  • Discovered molecular processes involved in the evolution of an engineered genetic code using a 61-codon Escherichia coli strain, and developed technology for its bioisolation / biocontainment: Pre-print​

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  • Identified and troubleshooted cellular fitness issues arising from an E. coli 57-codon genome design, among other efforts toward the construction of the strain: Pre-print

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  • Built deep learning models and mechanistic models to improve cellular fitness (in preparation)

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  • Engineering cells with an engineered genetic code to encode non-standard amino acids (in preparation)​​​

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Collaboration with Prof. James J Collins (MIT) and Jonathan M Stokes (MIT, McMaster University):

  • Analyzed omics, sequencing, and structural data to understand protein-drug interactions and the mode of action of antibiotics discovered with artificial intelligence: E. coli and Acinetobacter baumannii

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Collaboration with Prof. Stephanopoulos (MIT):

  • Identified metabolic constraints that allow modeling metabolism upon substrate co-feeding (in preparation)

Postdoctoral research

  • Led computational efforts of interdisciplinary and international MalarX project – involved collaborations with the University of Geneva and Bern (CH), Leiden (NL), and Sanger Institute (UK): publication​

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  • Constructed genome-scale metabolic models of two malaria parasites: iPfa, iPbe

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  • Established optimization-based computational tools for analysis of the cellular metabolic function in highly metabolically active (publications iPfa, iPbe) and dormant organisms (master thesis), understanding of the genotype-phenotype relationship (publication), annotation of missing biochemistry in metabolic reconstructions (publication), and analysis of labelled metabolic models (master thesis)

 

  • Worked on network analysis and reactive site identification to evaluate drug action mechanisms: publication

target_malaria.png

Image published in our press release

at https://actu.epfl.ch/news/a-breakthrough-in-malaria-research/ and others.

Graduate research

Contact

anush_chiappinopepe [at] hms [dot] harvard [dot] edu

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