LV305, A DENDRITIC CELL-TARGETING INTEGRATION-DEFICIENT ZVEXTM-BASED LENTIVIRAL VECTOR ENCODING NY-ESO-1, INDUCES POTENT ANTI-TUMOR IMMUNE RESPONSE

LV305, a dendritic cell-targeting integration-deficient ZVexTM-based lentiviral vector encoding NY-ESO-1, induces potent anti-tumor immune response

We have engineered an integration-deficient lentiviral vector, LV305, to deliver the tumor antigen NY-ESO-1 to human dendritic cells in vivo Fragrance through pseudotyping with a modified Sindbis virus envelop protein.Mice immunized once with LV305 developed strong, dose-dependent, multifunctional, and cytotoxic NY-ESO-1-specific cluster of differe

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Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems

Effective planning and optimized execution of the e-Science workflows in distributed systems, such as the Grid, need predictions of execution times of the workflows.However, predicting the execution times of e-Science workflows in heterogeneous distributed systems is a challenging job due to the complex structure of workflows, variations due to inp

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