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UID:20250814T174334EDT-2729IulF3c@132.216.98.100
DTSTAMP:20250814T214334Z
DESCRIPTION:Dr S. Stanley Young\, Asst. Director for Bioinformatics\, Natio
 nal Institute of Statistical Sciences\, Research Triangle Park\, NC. Disco
 very of biologically active compounds is often accomplished by screening l
 arge collections of compounds. Very few compounds are expected to have the
  activity of interest so testing compounds individually generates large am
 ounts of mostly uninformative data. Dorfman (1943) proposed testing pools 
 of individuals when looking for rare events. There is relatively little li
 terature on using pools for drug discovery\; informal conversations indica
 te that testing of pools has a checkered history. There is a level of para
 noia that active compounds will be missed. There is also the somewhat comp
 licated logistics of the decoding process.     So what are the statistical
  issues with pooling? There is some guiding theory for determining the num
 ber of compounds in a pool\, k=SQRT(1/p) where p is the probability that a
  compound will be active. We know a lot about the structural features of o
 ur compounds. Can we use that knowledge to select compounds to pool togeth
 er? What about the expensive\, retesting decoding process? Can we use the 
 chemical structures of compounds in a pool to 'put a statistical finger' o
 n the active compound(s) in an active pool? This presentation addresses tw
 o questions: How to use chemical structural information to guide the const
 ructing of pools? How to build a mathematical model for the prediction of 
 biological activity when the tested objects are mixtures of compounds? It 
 is 'a work in progress' so I will comment on future research directions. T
 his is very much 'team research.' I'm working with Prof. Jackie Hughs-Oliv
 er and graduate students at NCSU. Some of this work is funded by the NIH R
 oad Map project.\n
DTSTART:20071024T183000Z
DTEND:20071024T193000Z
LOCATION:Duff Medical Building\, CA\, QC\, Montreal\, H3A 2B4\, 3775 rue Un
 iversity
SUMMARY:Design and analysis of pooled high throughput screening data
URL:/channels/event/design-and-analysis-pooled-high-th
 roughput-screening-data-27611
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