A*STAR Graduate Scholarship (AGS)

BII Supervisors and their Projects
 
 
 
Principal Investigators (PIs)/ Supervisors Research Area / Theme Overseas Partner Universities Collaborators
Dr. FAN Hao A multidisciplinary approach to understanding the influence of HDAC9 variants on STROKE, and developing therapeutics based on HDAC9 inhibition. University of Cambridge Prof. Hugh Markus
Dr. BOND Peter
Integrated Multiscale Approaches of Theory and Experiments to Characterise Amyloid Formation at Membrane Surfaces Imperial College London Dr. Alfonso De Simone
A computational and experimental platform for modulation of innate immunity University of Cambridge Prof. Clare Bryant
Identifying druggable protein-protein interactions by computational sampling of cryptic binding pockets University of Cambridge Dr. David Huggins
Computational approaches supporting diversity-oriented synthesis (DOS) for disrupting bacterial quorum sensing University of Cambridge Prof. David Spring
Dr. Andreas Bender
Development of long-timescale simulation methods to neuroreceptors University of Oxford Dr. Phil Biggin
Dr. Chandra Verma
The interaction of metastasis-associated MAGE-A proteins with components of the p53 tumour suppressor network as novel anti-cancer therapeutic targets University of Dundee Dr. David Meed
Studies of p53 interactions with DNA Karolinska Institutet Prof Lennart Nilsson
Trp metabolim by the enzyme Indoleamine 2,3-dioxygenase Imperial College London Prof Andrew George
Drug design from the inhibition of growth factor signalling to translation University of Dundee Dr. Ruth Brenk
Dr. Lee Hwee Kuan
Dr. Cheng Li
Dr. Loo Lit Hsin
Computer Vision and Machine Learning for Pattern Discovery in Microscopy Images University of Illinois at Urbana-Champaign  
Computer Vision and Machine Learning for Pattern Discovery in Microscopy Images Imperial College London  
Computer Vision and Machine Learning for Pattern Discovery in Microscopy Images University of Dundee  
Dr. Sebastian
Maurer-Stroh
Computational prediction and experimental verification of novel functional aspects of ATM and ATR kinases The University of Dundee Dr. John Rouse
Development of a computer algorithm for the prediction of O-GlcNAc modifications followed by experimental verification of predicted substrates and cell biological consequences The University of Dundee Dr. Daan Van Aalten
Computational prediction and experimental verification of novel functional aspects of SMC proteins involved in DNA damage repair Karolinska Institutet Dr. Camilla Sjogren
Dr. Vladimir Kuznetsov Computational and mathematical approaches to analysis of critical macro-molecular and cellular events associated with tumor dormancy, cellular dynamics and cancer progression. The University of Dundee Dr. Mark Chaplain


For more details of each project, please email your queries to the PI/supervisor-in-charge.

 
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