Dear CCP4,
We are pleased to invite you to the next DRIIMB Webinar, featuring Dr Shruthi 
Viswanath, Associate Professor at the National Centre for Biological Sciences 
(NCBS), Tata Institute of Fundamental Research (TIFR), India.
Title: Recent Developments in Integrative Structural Modeling of Macromolecular 
Assemblies
Date: Thursday, 27 August
Time: 14:00–15:00 BST (UK)
Registration:
https://events.teams.microsoft.com/event/85e4d258-00dc-4136-a04b-e0358cb54ebf@3f66361c-a87e-4158-8f61-99e82db3cac8
Abstract
Integrative structure determination allows us to determine the structures of 
large macromolecular assemblies by combining data from complementary 
experimental methods with physical principles, statistical inference, and prior 
models. It is especially useful for determining structures of assemblies that 
are recalcitrant to a single experimental method. In the first part, I will 
talk about our recent efforts in determining the structures of megadalton 
chromatin remodeling assemblies and cell-cell junctions using Bayesian 
integrative structural modeling via the Integrative Modeling Platform (IMP, 
https://integrativemodeling.org<https://integrativemodeling.org/>).
I will first describe the application of integrative modeling to characterize 
the interactome of Histone deacetylase (HDAC). By combining information from 
X-ray crystallography, homology modeling, AlphaFold2, cross-linking mass 
spectrometry (XLMS), cryo-electron microscopy, biochemical binding assays, and 
physical principles, we determined the structures of NuRD, SIN3A, and co-REST 
HDAC-containing complexes, elucidating the design principles of these 
co-repressor complexes. As a second example, I will present our recent work on 
determining the structure of cardiac desmosomes, where integrating AlphaFold3 
predictions with cryo-ET, immuno-EM, and biochemical binding data substantially 
improves the precision and resolution of our previous desmosome structural 
model. Together, these integrative structures revealed mechanisms by which 
these complex molecular machines function and assemble; they also enabled us to 
rationalize mutations from cancers, epithelial, and cardiac diseases.
Rapid advances in AI-based structure prediction methods and experiments such as 
cryo-ET have sparked renewed enthusiasm in integrative modeling. In the second 
part, I will present our recent work on advancing integrative modeling methods. 
We found that often, disordered regions (IDRs) of proteins are challenging to 
localize in integrative structures, since they are usually associated with 
sparse structural and other interaction data. We developed Disobind, a 
deep-learning method to predict binding regions for IDRs on a partner, given 
their sequences. To improve the quality of density maps used in integrative 
modeling, we are working on PickET, a method for unsupervised particle 
localization in cryo-electron tomograms. Finally, our lab also develops methods 
for the PDB-IHM pipeline that are used for validating integrative structures 
deposited to the PDB.

Speaker
Shruthi Viswanath is a computational structural biologist and Associate 
Professor at NCBS, TIFR, Bangalore. She leads a lab that focuses on determining 
structures of large macromolecular assemblies using an integrative approach. 
The lab has recently determined integrative structures of chromatin remodelers 
and cell-cell junctions; these structures are solved in close collaboration 
with experimental structural and cell biologists. A significant focus of the 
lab is on method development for integrative modeling. Some of these methods 
are part of the  Integrative Modeling Platform (IMP, 
https://integrativemodeling.org<https://integrativemodeling.org/>), and have 
been adopted by the PDB-IHM pipeline for validating integrative models. See 
https://isblab.res.in<https://isblab.res.in/> for more details.
We hope you will be able to join us for what promises to be an engaging and 
informative seminar.

Best regards,
Hima Bindu Kolli
On behalf of the DRIIMB<https://driimb.org/> Team


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