Lab URL: http://pauling.mbu.iisc.ac.in

 

Information for prospective new students

 

I am happy to discuss with prospective new students. I can be reached any time in the e-mail (preferable) iiscsrinivasan@gmail.com or by SMS in my cell 93421 07047.You may also feel free to call me in my cell after interviews or during breaks. You are also welcome to discuss with the members of my group.

 

What do we do?

 

We are interested in understanding how proteins and other biomolecules work in terms of their three-dimensional structure and dynamics. We work with proteins involved in diverse biological contexts such as

 

Transcription and translation

Splicing

Metabolism

Signal transduction

Proteins of pathogens such as viruses, Mycobacterial tuberculosis and Plasmodium falciparum

 

We are also interested in understanding general principles governing complex relationships between protein sequences, 3-D structures, functions and interaction properties. We learn from the analysis of sequences and structures, develop new methods for recognition of structure and function from sequence and apply it to multi-genome scale in order to propose structures and functions of proteins discovered from genome sequencing projects.

 

In the recent times we concentrate on large assemblies of biomacromolecules such as ribosome and spliceosome. We integrate atomic level representation of structures of the components into the low-resolution density maps obtained by using cryo electron microscopy.

 

THE ON-GOING PROJECTS ARE NOT LIMITED TO THE DESCRIPTION ABOVE. WE IN FACT ENCOURAGE THE NEW STUDENTS TO WORK ON PROJECTS OF HIS/HER INTEREST.

 

Nature of work:

 

Computational biology and bioinformatics have revolutionised the way to learn biology and generated new paradigms in biology.

 

The nature of work is 100% computational though we extensively use laboratory experiment derived data in large-scale.

 

What background of students can join our group?

 

Students of any background is fine, though students with any biological science background will fit best. You need not have prior experience or exposure in computing or protein structural science. As long as you have an interest and inclination to analytical work you can easily learn necessary computing skills.

 

Srinivasan