Overview

In living organisms, proteins perform key functions required for life activities by interacting to form complexes. Determining the protein complex structure is crucial for understanding and mastering biological functions. Although AlphaFold2 makes a revolutionary breakthrough in predicting protein monomeric structures, accurately capturing inter-chain interaction signals and modeling the structures of protein complexes remain a formidable challenge.  DeepSCFold uses sequence-based deep learning models to predict protein-protein structural similarity and interaction probability, providing a foundation for identifying interaction partners and constructing deep paired multiple-sequence alignments (MSAs) for protein complex structure prediction

seminar.pdf

Objectives of Event

1. To understand the computational folding of protein structures.

2. To enable Knowledge Synthesis and Cross-Pollination by promoting interdisciplinary literacy and exposure to cutting edge tools.

3. To promote professional and academic development via functioning as community hub, and networking among graduate students and faculties

Convener Details

Prof.Ashok Kumar, Head CAIMIF & Professor Dept of Physics, SSBSR,

Co-ordinators:

Dr Sunita Sharma

sunita.sharma@sharda.ac.in

9884429021

Speaker Details:

• Ms.Shivani Singh P.hD Scholar Dept of life sciences