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UID:www.tcs.tifr.res.in/event/184
DTSTAMP:20230914T125913Z
SUMMARY:Predictive Toxicity In Silico
DESCRIPTION:Speaker: Kalyanasundaram Subramanian\nStrand Life Sciences\n5th
  Floor\, Kirloskar Business Park\nBellary Road\nHebbal\n\nAbstract: \nVari
 ous in silico methods are employed to predict toxicity in pharmaceutical R
 &D. The methods can range from simple structural alerts all the way to det
 ailed mechanistic modeling of biological systems. In my talk I will briefl
 y go over some of these methods with a focus on structure-activity relatio
 nships\, network-chemical similarity approaches and dynamic systems modeli
 ng. The talk will cover issues around how these models are built\, their a
 pplicability and their impact on the pharmaceutical pipeline.I will discus
 s how the quality of predictions made influences decision-making.\n\nAbout
  the Speaker: Dr. Kalyanasundaram Subramanian from Strand life sciences\, 
 popularly known as 'Kas'\, leads Strand's scientific and technical program
 s and coordinates the cross-divisional efforts in R&D. Kas's interests lie
  in the field of ADMET modeling and molecule design using machine learning
  and systems biology techniques. He has over a decade of experience in mod
 eling biological systems.\n\nAn IIT - Bombay alumnus\, Kas went on to comp
 lete his M.S. in Chemical Engineering from the State University of New Yor
 k College at Buffalo. Equipped with a Ph.D. in Biomedical Engineering from
  Johns Hopkins University\, Kas took up the position of Senior Scientist a
 t Genetic Therapy Inc (Novartis) between 1997-2000\, where he helped set-u
 p a group to perform research in synthetic and hybrid vectors for gene del
 ivery. Prior to Strand\, Kas headed the Collaborative R&D group for immuno
 logy products at Entelos.\n
URL:https://www.tcs.tifr.res.in/web/events/184
DTSTART;VALUE=DATE:20110413
LOCATION:A-212 (STCS Seminar Room)
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