Fastest G protein coupled reaction known to human is invertebrate phototransduction. During Drosophila melanogaster phototransduction, Phosphatidylinositol -4, 5- bisphosphate (PIP2) levels on the plasma membrane plays a vital role in transmitting visual cues into electric response. Levels of PIP2 and other lipid intermediates should be tightly regulated for normal phototransduction. This intriguing regulation has raised interesting questions which we can confront with the help of experimental as well as theoretical approaches.
Eukaryotic cell is composed of various compartments. For proper functioning of cellular activities, these compartments needs to communicate with each other. Out of various ways of communication, lipid transfer across membrane is one of the important method. We are trying to understand this process with the help of computational model of lipid transfer across membrane.
Enzymes play key role in almost every cellular signaling. Their localization as well as spatial distribution is very important for their function. We are trying to explore what are their advantages over well mixed system with help of experimental as well as theoretical approaches.
Mathematical model for analyzing spatial constrains on spread of viruses on bacterial plates. Analysis was also extended to check multiple infections.
Basics of enzyme substrate reactions checked under variety of conditions.
Phosphatidic acid (PA) is one of the important constituents in the cell. It plays vital role in many different kinds of functions in the variety of organisms. In Drosophila melanogaster , it acts as key intermediate molecule in phototransduction pathways. Our objective was to study the PA turnover and create simple kinetic model of the system. This model can also be able to provide probable mutant behavior in the same system
There are 64 codons and only 20 amino acids available for synthesis of protein. Most of the organisms use synonymous codons with different frequencies and this phenomenon is called codon bias. There are many different types of theories explaining the reasons for such bias selection. In this work, we were trying to establish the connections between the protein content , codon bias and total GC content of the organisms through statistical methods.
It is well known that many physical factors affect bacterial growth. In this study we checked effect of turbulence in controlled as well as wild type conditions.