What will be the probable usage of artificial intelligence in bioinformatics???

Question

Though there are various online courses available for A. I. but the application perspective is limited to computer science. How it can be applied to biology?

Answer 1

Artificial intelligence (AI) has increasingly gained attention in bioinformatics research and computational molecular biology. With the availability of different types of AI algorithms, it has become common for the researchers to apply the off-shelf systems to classify and mine their databases. At present, with various intelligent methods available in the literature, researchers are facing difficulties in choosing the best method that could be applied to a specific data set. Researchers need tools, which present the data in a comprehensible fashion, annotated with context, estimates of accuracy and explanation. This article aims to review the use of AI in the areas of bioinformatics and computational molecular biology (DNA sequencing). These areas have risen from the needs of biologists to utilize and help interpret the vast amounts of data that are constantly being gathered in genomic research. The underlying motivation for many of the bioinformatics and DNA sequencing approaches is the evolution of organisms and the complexity of working with erroneous data. This article also describes the kind of software programs which were developed by the research community in order to (1) search, classify and mine different available biological databases; (2) simulate biological experiments with and without errors.

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Answer 2

Well at my university they use bioinformatics to study the structure of DNA molecules mostly. Especially in terms of computing theory, like DNA computers.

Answer 3

@Karl T. So, they use for studying like unknown DNA models and analyze them

Answer 4

Artificial Intelligence (AI) has the potential to greatly impact the field of bioinformatics. Some of the most probable applications of AI in bioinformatics include:

Sequence analysis: AI algorithms can be used to analyze large amounts of genomic data, which can help identify new genes and understand the relationships between them.

Drug discovery: AI algorithms can be used to analyze vast amounts of chemical and biological data to identify new drug targets and predict the efficacy and safety of new drugs.

Diagnostics: AI algorithms can be used to develop more accurate diagnostic tools, such as medical imaging and gene expression analysis, to help diagnose diseases more quickly and accurately.

Personalized medicine: AI algorithms can be used to develop personalized treatments for individual patients based on their unique genomic and medical data.

Overall, AI has the potential to greatly advance the field of bioinformatics by enabling more efficient, accurate, and personalized analysis of large amounts of biological data.

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Answer 5

Artificial intelligence (AI) holds immense potential in bioinformatics, revolutionizing the analysis and interpretation of biological data. Through AI algorithms, vast amounts of genomic, proteomic, and metabolomic data can be processed rapidly, leading to insights into complex biological phenomena. AI in bioinformatics aids in predicting protein structures, identifying genetic variations linked to diseases, and even designing novel drugs. <a href=”https://www.clariwell.in/best-java-course-in-pune”> Best Java certification Course </a> complement this by equipping professionals with the programming skills needed to develop AI applications in bioinformatics, facilitating the integration of AI algorithms with existing bioinformatics tools and platforms.

Answer 6

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Answer 7

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