Predictive in silico Screening to Determine Vector-Mediated Transport Properties for the Blood-Brain Barrier Choline Transporter
Poster Apr 24, 2013
Sergey Shityakov and Carola Förster
The molecular docking methods were applied to determine energetic profiles (ΔG) and correlate them to the experimental binding modes. We report strong correlation of ΔG values with number of heavy atoms in the molecule. The molecular docking methods were able to predict almost all active compounds except for those with low number of heavy atoms, which limits rotational degrees of freedom. Knowledge gained from this study is useful to better understand the BBBCHT as well as can be used in medicinal chemistry programs targeting this transporter.
We utilized paired synthetic crRNAs coupled with our synthetic tracrRNA in cells transduced with lentiviral Cas9 to perform a functional knockout on hsa-miR-221. This three-part system (crRNA, tracrRNA and Cas9) has demonstrated efficient gene editing when used with only one guide RNA, but the goal was to use two crRNAs to remove the entire stem-loop.READ MORE
During early drug discovery, the study of metabolism plays an essential role in determining which drug candidates move forward into development and later stages. As an alternative to traditional Data Dependent Acquisition (DDA), the use of MSE/All Ions Fragmentation (AIF) has become common in metabolite identification workflows for the analysis of metabolic hot spots. Here we present a solution for analysis of MSE/AlF in metID studies.READ MORE