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SUMMARY:Statistical analysis of biotherapeutic datasets to facilitate earl
 y ‘Critical Quality Attribute’ characterization. - David Hilton\, GSK
DTSTART:20180227T130000Z
DTEND:20180227T140000Z
UID:TALK100825@talks.cam.ac.uk
CONTACT:Dr Vivien Gruar
DESCRIPTION:The Biopharm Process Research group is the first step on the r
 oute from newly discovered biotherapeutic drugs to a commercial product wh
 ich can be administered to a patient.  It is the group’s responsibility 
 to screen candidate molecules for their developability\, process fit and i
 dentify a suitable commercial cell line for their production. A key output
  from the group is the identification of Critical Quality Attributes (CQAs
 ). These are chemical\, physical or biological attributes of a molecule\, 
 or the system that produces it\, which can be defined and monitored to ens
 ure a product is within acceptable quality limits.\n \nThis is an open-end
 ed project in which the student is free to use novel strategies to analyse
  numerical and spectral datasets characterizing our molecules predicted at
 tributes\, and their intrinsic and in-process stability derived from techn
 iques such as high performance chromatography\, bio-layer interferometry a
 nd mass spectrometry. Using this analysis we plan to rapidly screen for CQ
 As and streamline our approach to CQA experimental characterization\, whil
 st also uncovering uses for our datasets which hitherto remain unknown.\n\
 n
LOCATION:MR3 Centre for Mathematical Sciences
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