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Research Publications
Comprehensive collection of research publications spanning computational immunology, bioinformatics, machine learning, and health informatics. Over 100 peer-reviewed publications in leading journals and conferences.
Explore Publications
Book Chapters & Dissertations
Drug Repurposing for Monkeypox
Chirag N. Patel, Raghvendra Mall+. "Repurposing drugs for monkeypox using artificial intelligence", The Scientific Basis of Mpox (MonkeyPox): Features, Prevention and Treatment, Elsevier Academic Press, 2025.
Kernel Spectral Clustering
Rocco Langone, Raghvendra Mall, Carlos Alzate and Johan A.K. Suykens, "Kernel Spectral Clustering and Applications", Springer 2016.
PhD Dissertation
Raghvendra Mall, "Sparsity in Large Scale Kernel Models", PhD Dissertation, June 2015.
Computational Immunology Research
Leading research in computational immunology with focus on PANoptosis, protein binding prediction, and therapeutic target identification.
1
2025: NLRP3 Inhibitor Research
Wonyoung Kim, Soyeon Kim,…, Raghvendra Mall, et al. "A potent NLRP3 inhibitor effective against both MCC950-sensitive and-resistant inflammation." Cell Chemical Biology (2025).
2
2025: Ferroptosis Research
Hyun Bae,…, Raghvendra Mall, et al. "Ferroptosis-activating metabolite acrolein antagonizes necroptosis" Nature Communications 16, 4919 (2025).
3
2024: NLRC5 PANoptosome
Balamurugan Sundaram, Raghvendra Mall, et al. "NLRC5 senses NAD+ depletion, forming a PANoptosome" Cell (2024).
Key Immunology Publications
Protein Toxicity Prediction
Raghvendra Mall+, Ankita Singh, Chirag N. Patel, et al. "VISH-Pred: an ensemble of ESM models for protein toxicity prediction" Briefings in Bioinformatics, 25.4 (2024).
PANoptosis in Cancer
Raghvendra Mall, Ratnakar R Bynigeri, et al. "Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets" NAR Cancer, Volume 4, Issue 4, 2022.
Immune-related lncRNA Signature
Raghvendra Mall*, Shimaa Sherif*, et al. "Immune-related 3-lncRNA signature with prognostic connotation" Journal of Translational Medicine 20(442), 2022.
Research focuses on understanding immune cell death mechanisms, particularly PANoptosis, and developing computational tools for therapeutic target identification.
Computational Biology & Bioinformatics
Protein Crystallization
Raghvendra Mall+, Rahul Kaushik, et al. "Benchmarking protein language models for protein crystallization" Scientific Reports 15, no. 1 (2025): 2381.
Peptide-HLA Binding
Hamda Alhosani, Raghvendra Mall, et al. "FEATURE-pHLA: Physico-chemical features efficiently predict peptide-HLA binding affinity." IEEE BIBM, 2024.
Network Analysis
Raghvendra Mall+, Mohamad Saad, et al. "Network-based identification of key master regulators" Briefings in Bioinformatics, 2021.
Health Informatics & Digital Medicine
1
Diabetes Risk Prediction
Mostafa Abbas, Raghvendra Mall, et al. Journal of Diabetes Investigation (2020).
2
Sleep Health Analytics
Ignacio Perez-Pozuelo,…, Raghvendra Mall, et al. "The future of sleep health: a data-driven revolution" npj Digital Medicine, (2020), 3:42.
3
Qatar Biobank Analysis
Raghvendra Mall*, Ehsan Ullah*, et al. "Harnessing Qatar Biobank to Understand Type 2 Diabetes" Journal of Translational Medicine, 16:09, 2018.
Machine Learning & Data Science
Kernel Methods & Clustering
  • Raghvendra Mall and Johan A.K. Suykens, "Very Sparse LSSVM Reductions for Large Scale Data" IEEE TNNLS, vol 6, no 25, pp. 1086-1097, 2015.
Big Data Analytics
Raghvendra Mall, Rocco Langone and Johan A.K. Suykens, "Kernel Spectral Clustering for Big Data Networks" Entropy, Special Issue: Big Data, Vol 13, No: 5, pp. 1567-1586, 2013.
Pioneering work in kernel spectral clustering methods for large-scale data analysis and network visualization techniques.
Material Sciences Applications
1
Perovskite Materials
Heesoo Park, Raghvendra Mall, et al. "Data-driven Enhancement of Cubic Phase Stability in Mixed-Cation Perovskites" Machine Learning: Science and Technology, 2021.
2
Machine Learning Acceleration
Adnan Ali, Raghvendra Mall, et al. "Machine-Learning-Accelerated Recovery of the Cubic Structure" Chemistry of Materials (2020).
3
Molecular Cation Design
Heesoo Park, Raghvendra Mall, et al. "Learn-and-Match Molecular Cations for Perovskites" Journal of Physical Chemistry A, 2019.
Conference Publications & Presentations
01
IEEE BIBM 2024
Hamda Alhosani, Raghvendra Mall, et al. "FEATURE-pHLA: Physico-chemical features efficiently predict peptide-HLA binding affinity."
02
PAKDD 2013
Raghvendra Mall and Johan A.K. Suykens, "Sparse Reductions for Fixed-Size Least Squares Support Vector Machines" (Acceptance Rate = 17.15%).
03
IEEE BigData 2013
Raghvendra Mall, et al. "Self-Tuned Kernel Spectral Clustering for Large Scale Networks" (Acceptance Rate = 17.37%).
04
IJCNN Series
Multiple publications at IJCNN conferences from 2011-2015, including optimal clustering methods and hierarchical spectral techniques.
Research Impact & Recognition
110+
Publications
Peer-reviewed articles in top-tier journals and conferences across multiple disciplines.
10+
Nature/Cell Papers
High-impact publications in Nature Communications, Cell, and other prestigious journals.
5
Book Chapters
Contributions to academic books on machine learning, clustering, and computational biology.
Research Areas
  • Computational Immunology & PANoptosis
  • Machine Learning & Kernel Methods
  • Bioinformatics & Protein Analysis
  • Health Informatics & Digital Medicine
  • Network Analysis & Data Visualization
Note: '+' indicates corresponding author, '*' indicates equal contribution
Full list of publications available at: https://orcid.org/0000-0003-1779-3150
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