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academies
J Med Oncl Ther 2017 Volume 2 | Issue 3
International Conference on
Oncology and Cancer Therapeutics
October 30- November 01, 2017 | Chicago, USA
Bioinformatics visualization: A review on a novel technique used in the interactorium
Nihal Babu
Sathyabama University, India
T
heemergingfieldof bioinformatics visualizationaddresses
the design of visual metaphors and implementation of
effective software tools that provide insight into complex
biological data. Visualization tools for protein interactions
is not an in-mint concept with Cytoscape and VisANT (2D
viewer), GEOMI and Arena 3D (3D viewer) etc. However,
3D navigability using Java based platforms wasn’t fast and
powerful enough. Interactorium, on the other hand, a
novel 3D platform is built on Skyrails visualization engine
(originally intended for social networking), permitting
multi-level viewing of the molecular biology of the cell. The
Interactorium, which can be used in most systems with a 3D
graphics card, has two views- “the Complex Viewer” (which
shows interactomewithout localization data) and “the Virtual
Cell” (with localization data). The modus operandi allows
visualizing the cell from 3 different levels: from the cell, to
protein complexes and interactions, and into the protein
structure. This new approach, as used by the Interactorium,
is powered by a sophisticated database compiled by its
makers and the strong point is that none of the data is hard
coded. An additional exciting application of the “Virtual 3D
Cell” approach, is the ability to get better understanding
of the inner cellular workings as in the static and dynamic
nature of elements, along with real-time manipulation of
networks and display control; also the prediction of the
unknown bio-molecular interactions in a network, is in itself,
a pro function of this form of visualization practice. These
applications, in turn, bolsters the image of Interactorium,
not just as a mere collection of amazing visuals (a relief from
staring at monotonous tables of data), but also as a powerful
tool for prediction in the field of cancer treatment and drug
discovery.
Speaker Biography
Nihal Babu has his expertise in Protein Modelling from the Satyabhama University. He
is pursuing his Master’s degree at University of Skovde. He also has his expertise in
evaluation and passion in improving the health and wellbeing. His open and contextual
evaluation model based on responsive constructivists creates new pathways for
improving healthcare.
e:
nihal.sathyabama@gmail.com