SImulation & Modeling of BIOSystems Laboratory

Exploring Biological Systems to understand the Synergy between its Components, from Cells to Microniche

GRN Topology & Dynamics • Transcriptomic & Functional Heterogeneity • Metabolic Heterogeneity • Transcriptional State Dynamics • Mathematical Modeling • Noise propagation • Evolutionary Biology • Machine Learning

Events

September 3, 2026 ·

Congratulations to Anirban for delivering his Ph.D. registration seminar

August 19, 2026 ·

Congratulations to Dr. Upasana Ray for successful defense of her Ph.D. thesis

Deciphering topology and dynamics of gene regulatory networks in driving cancer progression and therapy resistance

Research Highlights

Protein Noise Research — ribosome demand links transcriptional bursts to protein noise

Investigating how ribosome demand links transcriptional bursts to protein noise, influencing phenotypic heterogeneity in cell populations. Learn more →

Evolutionary Adaptation — cryptic vs de-novo mutations in yeast

Exploring the role of cryptic vs de-novo mutations in adaptation to novel stressful environments using yeast models. Learn more →

Cancer Heterogeneity — gene expression noise changes during cancer progression

Genome-wide identification of gene expression noise changes during cancer progression and its role in drug resistance. Learn more →

Recent Publications

  • 2026
    Pan-cancer analysis reveals mtDNA copy number as a key determinant of mutational load and disease progression in cancer Acharyya A., Dhar R† bioRxiv 2025 (accepted in The FEBS Journal, 2026)
  • 2026
    Gene regulatory network transitions reveal the central transcription factors in lung adenocarcinoma progression Ray U., Singh A., Samanta D., Dhar R† npj Systems Biology and Applications (2026)

Life at SIMBIOS Lab

SIMBIOS Lab at IIT Kharagpur encompasses everything from cutting edge research to vibrant lab culture. Our interdisciplinary team of biologists, engineers, and students collaborate on experimental research work as well as rigorous computational modeling of biosystems. We foster a supportive environment that encourages creativity and pushes for unique personalized contributions. From celebrating milestones together to engaging in lively scientific discussions, life at SIMBIOS Lab is as dynamic and enriching as the research we conduct.

Formerly known as the Systems Biology Lab (SBL).

More coming soon... !