Birla Institute of Technology and Science Pilani, India
Ashish Runthala has submitted his PhD thesis and about to complete it in a month from Birla Institute of Technology and Science, Pilani. His doctoral thesis is entitled “Refinement and Improvement of Template Based Protein Modelling Algorithms”. His research interest includes Biocomputing, Structural Bioinformatics, Functional Proteomics and Biomolecular Modelling. He has published more than 25 papers and monographs in reputed journals and research volumes, and has been serving as an editorial board member of repute, also being the Reviewer of several reputed journals.
Functional annotation of a protein sequence and that too precisely for its every single encoded domain is challenging. As the number of protein sequences is rapidly growing, the overwhelming count of proteins can only be annotated computationally, although a high accuracy is always expected. Decade is gone when the protein sequence could be annotated through the statistical scoring of its similarity with the existing database of functionally understood protein sequences. A protein structure is naturally too robust over its primary sequence information. To decode the functional attributes of a protein, the task of modelling, assessing and comparing a best predicted protein model with the functionally understood protein or domain conformations becomes a promising exercise. Majority of these protein structure prediction algorithms fail to construct the accurate near-native model with the correct structural topology of each of the encoded domain and with an acceptable mutual orientation of these domains in the overall protein model. The improved protein modelling algorithm is hereby first presented to bridge the sequence-structure gap and the challenge of predicting the functional detail of a protein sequence is further resolved. Smooth mapping of the evolutionary link and biochemical network of protein sequences in a cell is thereby emphasized to develop the best set of composite drugs for effectively curing even the currently unresolved deadly diseases.