Signalling accuracy in microbes
The thermodynamic uncertainty relation constrains how much information a cell signalling system can transmit.
Read paper →Research & collaboration
Research
Peer-reviewed work on generative molecular design, single-cell target discovery, stochastic modelling of biological systems and epidemiology.
Selected publications
Newest first.
Antigenic variation in parasites
A hierarchical switching pattern governs antigenic variation in the malaria parasite.
Read paper →Target-aware peptide design using generative AI
A hybrid diffusion model for stable, affinity-driven, receptor-aware peptide generation.
Read paper →Drug targets from single-cell transcriptomics and AI-based drug design
Decoding malaria drug targets from single-cell transcriptomics, then generating candidate molecules against them.
Read paper →Epidemiological modelling for COVID-19
A country-specific optimisation strategy for testing through contact tracing.
Read paper →Information–entropy trade-off in cellular signalling
The design of a MAPK cascade balances energetic cost against the accuracy of information transmission.
Read paper →Collaborations
Ongoing work with groups in India and abroad.
Max Planck Institute for Terrestrial Microbiology Marburg, DE
Max Planck Institute for the Physics of Complex Systems Dresden, DE
China Agricultural University Beijing, CN
IBAB Bangalore, IN
IIIT Hyderabad Hyderabad, IN
BITS Hyderabad Hyderabad, IN
UCB Pharma United Kingdom
Research themes we work across
- AI-driven peptide sequence optimisation
- Testable hypotheses from integrated large-scale sequencing datasets
- Machine-learning-assisted molecular design workflows
- Computational screening pipelines
- Protein–peptide interaction analysis
- Therapeutic design workflows
- Dynamical modelling of biochemical pathways
Conference proceedings, book chapters & patents
Conference proceedings
- A. Sahni, V. V. Kosuri, B. Ghosh, A. Sarje and A. Srivastava, “Design of Integrated System for Detection of Micro-organisms with Fabrication and Testing of ZnO Nanorods based Biosensor,” 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), Toronto, ON, Canada, 2023, pp. 1–5. doi:10.1109/BioCAS58349.2023.10388668
- Shreeya Pahune, Bhaswar Ghosh (2025). Unravelling Plasmodium falciparum's life cycle: insights from integrated transcriptomic and machine learning approaches. International Journal of Public Mental Health and Neurosciences, 12(1). ISSN 2394-4668
Book chapters
- Soham Choudhuri, Saurav Mallik, Bhaswar Ghosh, Tapas Si, Tapas Bhadra, Ujjwal Maulik and Aimin Li (2021). A study of computational learning and IoT applications to high-throughput array-based sequencing and medical imaging data in drug discovery and other health care systems. In Applied Smart Health Care Informatics: A Computational Intelligence Perspective, John Wiley & Sons, USA
- Soham Choudhuri and Bhaswar Ghosh (2021). Drug design for malaria with artificial intelligence (AI). In Plasmodium Species and Drug Resistance, ed. Rajeev K. Tyagi, IntechOpen Book Series
Patent
- A. Srivastava, B. Ghosh, A. Sarje, Deeksha, A. Tripathi, A. Sahni. “A Portable System for Pneumonia Detection using Simultaneous Measurement of Vitals and Artificial Intelligence Capabilities.” Provisional patent filed, Indian Patent Office, Application No. 202341044162, June 2023
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