Biofuel generation with the help of Bioinformatics

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Due to the continuously growing natality rate, increased availability of healthcare and food production has led to decreased mortality and further proliferated, population outburst on earth. This has caused strain on the energy sources and thereafter there has been an endless search for the most convenient, fast, and long-lasting method of renewable source of energy.


According to the sources, from 2011 to 2021, renewable energy has grown from 20% to 28% of the global electricity supply. Fossil energy shrank from 68% to 62%, and nuclear from 12% to 10%. The share of hydropower decreased from 16% to 15% while power from sun and wind increased from 2% to 10%. Biomass and geothermal energy grew from 2% to 3% . Among many energy sources, Biomass can be one of the most trusted renewable energy sources, due to its abundance of availability present in nature. Biomass refers to organic material from plants or animals. This includes wood, sewage, and ethanol (which comes from corn or other plants). Biomass can be used as a source of energy because this organic material has absorbed energy from the Sun. This energy is, in turn, released as heat energy when burned.

Various pretreatment techniques transform these raw biomaterials into forms that can be used in biofuel production processes. However, this pretreatment method has some combined disadvantages associated with them as it requires a large area for the production of biomass at its very initial level, a huge infrastructure, and cannot fulfill the massive energy demand of the population in the longer run.


This microbial method for the hydrolysis of biomass can be a remarkable alternative. Molecular interaction can be studied with the help of Bioinformatics. It is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As a multidisciplinary field of science, bioinformatics combines biology, chemistry, physics, computer science, information engineering, mathematics, and statistics to analyze and interpret biological data.


Overall, Bioinformatics can help to study the genetic properties of any particular biomass as a stimulator and as a recognizer of any genetic pattern which can release more amount of biofuel in comparison to others and can tell the probable mutations that can bring about increased output. 


Dr. Manish Bhardwaj, 

Department of Computer Science and Engineering


Anushka Tyagi,

Department of Computer Science and Information Technology




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