From: Tyagi, Manoj (NIH/NLM/NCBI) [F]
Sent: Tuesday, March 24, 2009 9:25 AM
To: NLM/NCBI List ncbi-seminar
Subject: Remindar: CBB seminar Today at 11 am, Tuesday March 24 

 

Time: 11.00 am

Day:  Tuesday, March 24

Bldg. 38A, B2 conference room

 

Speaker: Manoj Tyagi

 

 

Exploring biomolecular interactions: promiscuous binding and prediction by homology-based inference

 

 

Proteins, nucleic acids and other biomolecular compounds function while interacting with each other. Protein interactions
 form intricate interaction networks where some proteins create connections to many other proteins and participate in more 
than one protein complex or pathway. In the first part of my talk I will address the mechanisms of specific molecular
 recognition of multiple partners by a promiscuous protein region and analyze functional mechanisms of their binding 
promiscuity as well as physico-chemical properties of their interfaces. As we show, only five percent of protein families 
in the structure database have multi-binding interfaces and I will report several functional mechanisms utilized by these families.

 

 

In the second part of my talk I will present a server for prediction biomolecular interactions using homology-based 
inference (so called IBIS, Inferred Biomolecular Interaction Server). IBIS records interactions between proteins and
 other biomolecules like ligands, DNA and RNA molecules, peptides and other proteins. Strength/Novelty of the system
 is its ability to infer all possible interactions sites from its structural homologs and cluster them based on their
 similarity. The clustered binding interfaces gives summary of most relevant interactions and are inferred to the original
 query structure. Establishing the validity of the observed interaction and ranking of clustered sites based on biological 
relevance are some of the key challenges we have to confront. 

 

 

 

Manoj TYAGI, PhD.
Postdoctoral Fellow.
National Center for Biotechnology Information (NCBI)

National Library of Medicine(NLM)

National Institutes of Health (NIH), USA

Phone: 301-496-9548