Titlebook: Receptor/Ligand Sorting Along the Endocytic Pathway; Jennifer J. Linderman,Douglas A. Lauffenburger Book 1989 Springer-Verlag Berlin Heide

斜

A Kinetic Model of Sorting that Predicts Ligand Effects, sorting. Although this mechanism is successful in explaining the kinetics and efficiency of receptor recycling in many systems, the mechanism allowed for variations in the sorting outcome only as a result of variations in the values of the vesicle radius R, the tubule radius b, the distribution of

輕推

Conclusions, targets molecules to their final destinations. By controlling the fraction of internalized receptors that recycle to the cell surface, the cell can regulate its ability to bind extracellular ligand and can thus modulate its response to a particular ligand. Similarly, a cell may choose to degrade li

縫紉

A Kinetic Model of Sorting that Predicts Ligand Effects, for variations in the sorting outcome only as a result of variations in the values of the vesicle radius R, the tubule radius b, the distribution of volume between the endosome vesicle and tubules, the diffusion coefficient of the receptor D., the dimensionless current β, the partition coefficient κ, and the sorting time τ*.

Biomarker

Jennifer J. Linderman,Douglas A. Lauffenburgereveloped; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers..978-3-030-75523-2978-3-030-75521-8Series ISSN 1860-949X Series E-ISSN 1860-9503

護(hù)航艦

Jennifer J. Linderman,Douglas A. Lauffenburgereveloped; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers..978-3-030-75523-2978-3-030-75521-8Series ISSN 1860-949X Series E-ISSN 1860-9503

Crayon

babble

Extemporize

浮雕

明智的人

Jennifer J. Linderman,Douglas A. Lauffenburger is proposed for predicting misinformation spread by leveraging GraphSAGE with heterogeneous graph convolution. Secondly, we propose an explanation module that uses gradient-based and perturbation-based methods, to identify what makes misinformation spread by explaining the trained prediction module