A 3D computational model for investigating the Spatial heterogeneity of Polymicrobial biofilm using K-means Clustering

Chiluveru, Varun Kumar and Pawar, Parag D (2018) A 3D computational model for investigating the Spatial heterogeneity of Polymicrobial biofilm using K-means Clustering. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Biofilm is considered for the cause of many microbial infections which range from Cystic fibrosis to middle ear infections. The biofilm mode of growth is more significant than planktonic as the biofilm mode of growth is protected from acidic PH, host immune responses, metal toxicity and antibiotics. Antibiotic resistance is becoming a bigger threat to mankind than cancer. The inter and intra species communications play a vital role in the growth dynamics and survival of the biofilm. The emergence of Small colony variants by phenotypic switching from S.aureus in presence of 4- Hydroxy-2-heptylquinoline N-oxide (HQNO) which is produced by P.aeruginosa play a superior role because of its inherent resilience and host adaptability.

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