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#IdeaPlus

A Quarterly Magazine by Adamas University, Kolkata

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evade the human

immune system, survive,

reproduce and then

jump to another human

due to its highly

infectious nature. The

virus is believed to

spread via respiratory

droplets and aerosols,

when an infected person

comes in close contact

with a healthy individual.

The virus causes mild to

severe symptoms in

humans including fever,

dry cough, respiratory

distress, pneumonia etc.

and may result in death.

In the absence of a

vaccine, scientists

worldwide immediately

started working by

collaborating and

sharing data so that the

process of development

of a vaccine can be

accelerated. Even if

many scientists are stuck

at their homes as their

laboratories have been

closed down due to the

disease outbreak, their

minds are not stuck and

therefore, they have

started working from

home, analyzing the

available data and

coming up with ideas

that can help us to fight

this deadly disease.

In this crisis,

Bioinformatics has come

out as one of the major

fields in analyzing data

and helping in the

development of drugs or

vaccines. Sequence

data is the ‘holy grail’ in

Bioinformatics.

Bioinformaticians use

computational tools or

write their programmes

to analyze biological

data and come up with

theories that can be

further tested in the

laboratory for validation.

In the presence of a

large amount of data,

scientists have to spend

a great amount on time

and money to get any

fruitful results. In this

scenario, Bioinformatics

can be used to analyze

the data, discard the

redundant ones, and

come up with a few

significant predictions

which can be tested in

the laboratory quickly.

This way, Bioinformatics

can reduce the

workload and

expenditure significantly,

which in turn helps us to

address a problem

quickly and efficiently.

Today Bioinformaticians

are closely working with

various drug/ vaccine

development teams to

find out a cure for Covid-

19.

To predict a drug against

Covid-19, the workflow

of a Bioinformatician can

be roughly divided into

five broad areas: (a)

retrieving nucleic acid

data from the primary

sequence databases,

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