Lijing Li

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The HIV-1 coreceptor CCR5 is a validated target for HIV/AIDS therapy. The apparent elimination of HIV-1 in a patient treated with an allogeneic stem cell transplant homozygous for a naturally occurring CCR5 deletion mutation (CCR5(Δ32/Δ32)) supports the concept that a single dose of HIV-resistant hematopoietic stem cells can provide disease protection.(More)
Previous studies have shown modular structures in PPI (protein-protein interaction) networks. More recently, many genome and metagenome investigations have focused on identifying modules in PPI networks. However, most of the existing methods are insufficient when applied to networks with overlapping modular structures. In our study, we describe a novel(More)
Liu Wei Di Huang Wan (LW) has been used as an active Chinese patent formula for “Five Late Syndrome” of Children for thousands of years. Due to the complexity in its chemical constituents, the pharmacokinetics of this formula have not been elucidated clearly, and the understanding of its pharmacological properties has been delayed. Previous studies have(More)
Gene therapy for HIV-1 infection is a promising alternative to lifelong combination antiviral drug treatment. Chemokine receptor 5 (CCR5) is the coreceptor required for R5-tropic HIV-1 infection of human cells. Deletion of CCR5 renders cells resistant to R5-tropic HIV-1 infection, and the potential for cure has been shown through allogeneic stem cell(More)
Literatur [1] Jieyue He, Chaojun Li, Baoliu Ye, and Wei Zhong. Efficient and accurate greedy search methods for mining functional modules in protein interaction networks. Mining the unknown: a systems approach to metabolite identification combining genetic and metabolic information. Aufgabe 2 (5 Punkte): Schreibt eine etwa einseitige Zusammenfassung (d. h.(More)
Given recent investigations of gene regulatory networks, an increasing amount of attention is focused on the nonlinearity and randomness in these networks. It has always been assumed that gene regulation is a random process with Gaussian white noise. However, in practice, there is no ideal white noise; therefore results obtained from a model with white(More)
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