Browsing by Author "Chen, Heng-Chang"

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  • Machine learning: how much does it tell about protein folding rates?
    Corrales, Marc; Cuscó, Pol; Usmanova, Dinara R.; Chen, Heng-Chang; Bogatyreva, Natalya S.; Filion, Guillaume; Ivankov, Dmitry N. (Public Library of Science (PLoS), 2015)
    The prediction of protein folding rates is a necessary step towards understanding the principles of protein folding. Due to the increasing amount of experimental data, numerous protein folding models and predictors of ...
  • Position effects influence HIV latency reversal
    Chen, Heng-Chang; Martínez Vesga, Javier Pablo; Zorita, Eduard; Meyerhans, Andreas; Filion, Guillaume (Nature Publishing Group, 2017)
    The main obstacle to curing HIV is the presence of latent proviruses in the bodies of infected patients. The partial success of reactivation therapies suggests that the genomic context of integrated proviruses can interfere ...
  • Spatially clustered loci with multiple enhancers are frequent targets of HIV-1 integration
    Lucic, Bojana; Chen, Heng-Chang; Kuzman, Maja; Zorita, Eduard; Wegner, Julia; Minneker, Vera; Wang, Wei; Fronza, Raffaele; Laufs, Stefanie; Schmidt, Manfred; Stadhouders, Ralph; Roukos, Vassilis; Vlahovicek, Kristian; Filion, Guillaume; Lusic, Marina (Nature Research, 2019)
    HIV-1 recurrently targets active genes and integrates in the proximity of the nuclear pore compartment in CD4+ T cells. However, the genomic features of these genes and the relevance of their transcriptional activity for ...
  • The chromatin landscape at the HIV-1 provirus integration site determines viral expression
    Vansant, Gerlinde; Chen, Heng-Chang; Zorita, Eduard; Trejbalová, Katerina; Miklík, Dalibor; Filion, Guillaume; Debyser, Zeger (Oxford University Press, 2020)
    HIV-1 persists lifelong in memory cells of the immune system as latent provirus that rebounds upon treatment interruption. Therefore, the latent reservoir is the main target for an HIV cure. Here, we studied the direct ...

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