Abhishek Tiwari
Welcome to webpage of Abhishek Tiwari
The current focus of my research is the application of computational methods and tools to solve biological problems of fundamental significance. More details can be found in Research section. Currently I am working as Research Associate with Informatics Group at GVK Biosciences. I am also a member of Prof Gautam R. Desiraju Research Group at School of Chemistry at University of Hyderabad.
In News
PLoS Computational Biology Volume 2 | Issue 10 | OCTOBER 2006
- 3D Complex: a Structural Classification of Protein Complexes
Synopsis
Most of the proteins in a cell assemble into complexes to carry out their function. It is therefore crucial to understand the physico-chemical properties as well as the evolution of interactions between proteins. The Protein Data Bank represents an important source of information for such studies, because more than half of the structures are homo- or heteromeric protein complexes. Here Emmanuel D Levy,etl. propose the first hierarchical classification of whole protein complexes of known three-dimensional structure, based on representing their fundamental structural features as a graph. This classification provides the first overview of all the complexes in the Protein Data Bank and allows non-redundant sets to be derived at different levels of detail. This reveals that between one half and two thirds of known structures are multimeric, depending on the level of redundancy accepted. We also analyse the structures in terms of the topological arrangement of their subunits, and find that they form a small number of arrangements compared to all theoretically possible ones. This is because most complexes contain four subunits or less, and the large majority are homomeric. In addition, there is a strong tendency for symmetry in complexes, even for heteromeric complexes. Finally, through comparison of Biological Units in the Protein Data Bank with the Protein Quaternary Structure database, they identified many possible errors in quaternary structure assignments. Our classification, available as a database and web server at http://www.3Dcomplex.org, will be a starting point for future work aimed at understanding the structure and evolution of protein complexes.
File:Logotreedyno.GIF http://www.treedyn.org/
BMC Bioinformatics Volume 7 | OCTOBER 2006
- TreeDyn: towards dynamic graphics and annotations for analyses of trees
Synopsis TreeDyn is a tree visualization and annotation tool which includes tools for tree manipulation and annotation and uses meta-information through dynamic graphical operators or scripting to help analyses and annotations of single trees or tree collections.TreeDyn is using annotations and dynamic graphical methods for editing and analyzing multiple trees. The main features of TreeDyn are 1) the management of multiple windows and multiple trees per window, 2) the export of graphics to several standard file formats with or without HTML encapsulation and a new format called TGF, which enables saving and restoring graphical analysis, 3) the projection of texts or symbols facing leaf labels or linked to nodes, through manual pasting or by using annotation files, 4) the highlight of graphical elements after querying leaf labels (or annotations) or by selection of graphical elements and information extraction, 5) the highlight of targeted trees according to a source tree browsed by the user, 6) powerful scripts for automating repetitive graphical tasks, 7) a command line interpreter enabling the use of TreeDyn through CGI scripts for online building of trees, 8) the inclusion of a library of packages dedicated to specific research fields involving trees.
