Author
Shruthi Viswanath
Tata Institute of Fundamental ResearchORCID 0000-0002-9061-8407Unclaimed ORCID profile · follow to get notified of new preprints
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Biology Disciplines
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2022-2026 · peak 6/yrCo-Author Collaboration Network
10 top collaborators · 14 mutual co-author links11 papers
Recent·Most cited
Multicomplex Integrative Structural Modeling of a Human Histone Deacetylase Interactome
Jules Nde, Kartik Majila, Rosalyn C. Zimmermann, Cassandra G. Kempf, Ying Zhang, Joseph Cesare, Janet L. Thornton, Jerry L. Workman, Laurence A. Florens, Shruthi Viswanath, Michael P. Washburn
The paper builds structural models of HDAC1/2-containing chromatin remodeling complexes using XL-MS and integrative modeling, revealing how the CTD IDR of HDAC1 folds into alpha helices.
Molecular & Cellular Proteomics · Sep 2, 2026Peer-reviewedSystems Biology
GATA3-extension mutants rewire lineage identity in luminal breast cancer
Nivedhya Venas, Mrunal Ratnaparkhi, Kartik Majila, Stacey Jamieson, Igor V. Chernukhin, Shruthi Viswanath, Jason S. Carroll, Dimple Notani, Radhakrishnan Sabarinathan
The paper shows that eGATA3 mutations alter transcriptional regulation and lineage identity in luminal breast cancer without losing DNA-binding function.
bioRxiv · Aug 24, 2026 · PreprintCancer Biology
Integrative structure determination of a human mitochondrial contact site and cristae organizing system (MICOS) sub-assembly
M. Jindal, Rakesh Mahato, Sreemoyee Das, Arko Guha, Kartik Majila, Shreyas M. Arvindekar, Anand T. Vaidya, Shruthi Viswanath
The paper determines the structure of a MICOS sub-assembly using integrative methods, revealing novel interfaces and mutation hotspots.
bioRxiv · Jul 22, 2026 · PreprintBioinformatics
Cell-autonomous Wnt activity promotes transient re-programming and cell cycle re-entry of coronary artery endothelial cells
Bhavnesh Bishnoi, Alfia Nirguni Saini, Vinay Jaya Rao, Omkar Golatkar, Ravindra Kailasrao Zirmire, Shruthi Viswanath, Perundurai Subramaniam Dhandapany, Soumyashree Das
The paper identifies Wnt signaling as essential for coronary artery endothelial cell reprogramming and collateral artery formation in mice, with implications for cardiovascular disease.
bioRxiv · Feb 23, 2026 · PreprintDevelopmental Biology
Disobind: a sequence-based, partner-dependent contact map and interface residue predictor for intrinsically disordered regions
Kartik Majila, Varun Ullanat, Shruthi Viswanath
Disobind predicts inter-protein contact maps and interface residues for intrinsically disordered regions using sequence-based deep learning, outperforming existing methods without requiring structures or alignments.
Cell Systems · Jan 1, 2026Peer-reviewedBioinformatics
PickET: An unsupervised method for localizing macromolecules in cryo-electron tomograms
Shreyas M. Arvindekar, Omkar Golatkar, Shruthi Viswanath
PickET localizes macromolecules in cryo-ET tomograms without expert annotations or prior structures, showing effectiveness across diverse datasets.
bioRxiv · Aug 20, 2025 · PreprintBioinformatics
A new discrete-geometry approach for integrative docking of proteins using chemical crosslinks
Yichi Zhang, Muskaan Jindal, Shruthi Viswanath, Meera Sitharam
This paper introduces wall-EASAL, a discrete geometry method for integrative protein docking using crosslinks, showing improved performance and efficiency over IMP.
Journal of Chemical Information and Modeling · Apr 29, 2025Peer-reviewedBioinformatics
StrIDR: a database of intrinsically disordered regions of proteins with experimentally resolved structures
Kartik Majila, Shruthi Viswanath
StrIDR is a database of intrinsically disordered regions with experimentally resolved structures, providing insights into IDR dynamics and facilitating computational studies.
bioRxiv · Aug 22, 2024 · PreprintBioinformatics
Optimizing representations for integrative structural modeling using Bayesian model selection
Shreyas M. Arvindekar, Aditi Pathak, Kartik Majila, Shruthi Viswanath
This paper introduces NestOR, a Bayesian method to automatically select optimal coarse-grained representations for integrative structural modeling, improving accuracy and efficiency.
Bioinformatics · Feb 21, 2024Peer-reviewedBioinformatics
PrISM: precision for integrative structural models
Varun Ullanat, Nikhil Kasukurthi, Shruthi Viswanath
PrISM identifies high and low-precision regions in integrative models by accounting for varying input information.
Bioinformatics · Jun 20, 2022Peer-reviewedBioinformatics