Biomolecular Structure to Mechanism Division (BSMD)
The Biomolecular Structure to Mechanism Division is involved in unraveling the fundamental links between sequence, structure, dynamics and biological functions of molecules such as proteins. Recent advances in computational approaches, in conjunction with data obtained from various experimental techniques, have provided detailed atomistic insights into biological complexity. The division's approach follows this philosophy - to be tightly coupled to experimental laboratories such that testable hypotheses are generated and a feedback mechanism of predictions and validations exists between the groups.
To generate hypotheses about biomolecular functions, we model both evolutionary as well as physical behaviour. The hierarchy of methods, ranging from fast low resolution (evolutionary/comparative analysis) methods to detailed microscopic analysis (docking/electrostatics/Molecular Dynamics/Normal Mode Analysis/Reaction Paths), leads to focused groundwork for experiments to establish the molecule's role in its complex biological setting. The division is highly interdisciplinary in origin and approach and works extensively with experimental and clinical partners and with the pharma industry.
Cellular Image Informatics Division (CIID)
For over three centuries, light microscopy has served as a powerful and indispensable tool for making important biological discoveries. The entry of digital imaging into microscopy has given rise to a new branch of bioinformatics research, also known as Bio-Imaging Informatics. Irrespective of the type of detection device, whether it is the human eye, a camera or an electronic scanner, the human brain still remains the major interpretation engine of image data. However, technological advances in instrumentation, such as 3-dimensional time-lapse imaging and high-throughput screening platforms, have led to experiments that routinely produce thousands of images containing billions of pixels. It is obvious that the manual processing and analysis of images traditionally performed by human experts is increasingly becoming inefficient, incomplete and imprecise.
The four groups of the Imaging Informatics division are dedicated to the field of quantitative microscopy which aims to automate the interpretation of images by applying methods in computer vision, machine learning and statistics. The research groups focus on "Computer Vision and Pattern Discovery", "Complex Cellular Phenotype Analysis", "Biophysical Modelling" and "Computational Digital Pathology".
Biomedical Data Hub Division (BDHD)
**This section will be updated soon!
This division consists of TWO groups:
- Clinical Data Engagement
- Biomed DAR
Translational Research Division (TRD)
Started as a joint BII-p53Lab in Oct 2013, Antibody & Product Development (APD) Lab worked on Antibody Engineering, Viral drug resistance, Drug development, Scientific Phone Apps, IoT devices, Psychology, Augmented Reality, and psychology game apps.