Dear Editor,
Over the decades, advancements in technological fields
have greatly reshaped the drug development process
in pharmaceutical companies. This drive in drug
development process is due to an increase in computed
generated prediction models and pre-screening of new
chemical entities.1
In recent years, artificial intelligence
such as ChatGPT has made its new entry, attracting many
biopharmaceutical scientists, globally. ChatGPT is a large
language model developed by OpenAI that is trained on
a vast corpus of text data. It has been used in a variety
of applications, including natural language processing,
language translation, and text generation. One of the
most promising applications of ChatGPT in the field of
drug discovery is its ability to generate new chemical
compounds. This is done by training the model on a
dataset of known compounds and their properties.2
Once
trained, the model can generate new chemical compounds
that are similar to the compounds in the dataset. This can
be useful in the drug discovery process as it can help to
identify new compounds that have the potential to be
developed into drugs. Another application of ChatGPT
in drug discovery is its ability to predict the properties
of new compounds. By training the model on a dataset
of known compounds and their properties, it can predict
the properties of new compounds that it has never seen
before.2
This can be useful in the drug discovery process as
it can help to identify compounds that have the potential
to be developed into drugs