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Conference Papers Year : 2017

An integrative approach for predicting the RNA secondary structure for the HIV–1 Gag UTR using probing data

Abstract

Structure modeling is key to understand the mechanisms of RNA retroviruses such as HIV. Many in silico prediction approaches suggesting structural models of moderate to good accuracies are available. However, the prediction methods could be further improved by taking advantage of both next generation sequencing technologies and different experimental techniques such as enzymatic and SHAPE probing data [1]. In a published article [2], we introduce and use a structural modeling method based on the integration of many experimental probing data to direct predictions with the aim to find the most accurate structure lying in the intersection of disjoint sources of experiments.
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Dates and versions

hal-01534587 , version 1 (26-12-2017)

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  • HAL Id : hal-01534587 , version 1

Cite

Afaf Saaidi, Yann Ponty, Bruno Sargueil. An integrative approach for predicting the RNA secondary structure for the HIV–1 Gag UTR using probing data. JOBIM - Journées Ouvertes en Biologie, Informatique et Mathématiques - 2017, Jul 2017, Lille, France. pp.102. ⟨hal-01534587⟩
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