In silico comparative function prediction of enzymes, applied to fatty acid metabolism in microalgae - Inria - Institut national de recherche en sciences et technologies du numérique
Rapport Année : 2019

In silico comparative function prediction of enzymes, applied to fatty acid metabolism in microalgae

Résumé

This is a confidential report on the design and implementation of in silico methods for large-scale comparative analysis of desaturase genes from all branches of life, with the goal of defining methods for predicting function, specificity, and regiospecificity. The work included a systematic, multi-criteria comparison of candidate proteins, integrating sequences, annotations, structures and experimental results. The biotechnological context for this work is the search for production of polyunsaturated fatty acids of nutritional interest at industrial scale by cultivating green algae directly, rather than relying on commercial fishing to recover fatty acids concentrated through the food chain. Ultimately, the cultivated algae may be domesticated strains of naturally occurring species, or engineered strains developed by genetic engineering or synthetic biology. For confidentiality reasons the full content of this report cannot be disseminated at this time.
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Dates et versions

hal-02431250 , version 1 (07-01-2020)

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Copyright (Tous droits réservés)

Identifiants

  • HAL Id : hal-02431250 , version 1

Citer

Swarna Kanchan. In silico comparative function prediction of enzymes, applied to fatty acid metabolism in microalgae. [0] Inria Bordeaux Sud-Ouest. 2019. ⟨hal-02431250⟩
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