2.  Signal Transduction transmits signals from outside to the inside of the cell  Integer Linear Programming model is used to unravel STN

3.  A signal transduction in biology is a cellular mechanism.biologycellular  It converts a stimulus into a response in the cellstimulus  A small signal results in a large response

6.  Difficult to identify the reactions in the Signaling Pathway  A computational method is required

7.  Scott et al. – Color Coding  Steffan et al. – Netsearch  Top scoring pathways are considered

8.  Existing solutions may be inconsistent  Integer Linear Programming ( ILP ) is a novel method and it integrates PPI data with gene expression profiles  Treats signaling network as an entity

9. Dataset#proteins#interactions DIP (9)483914319 DIP Core (10)25585967 Protein-Protein Interactions SPA (7)13633721 Dataset#genes#samples Carbon Sources(12) 63834 Stress response (13) 64465 Gene expression profiles Rosetta compendium(14 ) 6316300 Diauxic shif(15)60657 Phosphate metabolism(16) 62838

11.  The model was applied on yeast PPI network- DIP database  Pherome response and Filementous growth signaling pathways were identified

15.  Simple and effective for PPI data  Finds identical pathways like that of Color Coding and Netsearch

16.  Uncovers similar results like color coding and Netsearch  Proves efficiency and prediction power of the proposed method

17.  Signal Transduction is one of the most important biological processes that cells respond to external stimuli  Used for coordinating metabolism, cell proliferation and differentiation  ILP determines optimal sub networks efficiently

18.  Signal Transduction  Computational models  ILP  ILP applied to datasets  Comparison  Evaluation  Importance

19.  Aishwarya Ramisetti  UIN # 671235570