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Artificial Intelligence in Drug Discovery

 

Pharmaceuticals, which constitute the most important element of the field of pharmacy, constitute a very rich disciplinary field in terms of data sources due to the different chemical and biological properties resulting from molecular structure differences. Analyzing the biological activities of chemical structures that have gained drug status or are still in molecular design level has been done very roughly with very difficult mathematical models until today. However, due to the abundance of data and the predominance of being in a confusion that could exceed the level of human intelligence, it has become necessary to express these data with more detailed and powerful mathematical algorithms.

 

We continue to analyze drug molecule designs and discoveries with artificial intelligence, which will allow the treatment of many diseases, with the level of experience and knowledge we have reached in the use of artificial intelligence algorithms, which we started about 35 years ago and published in scientific journals, for the discovery of innovative drug molecules.

 

The most important issue here is that the drug molecules show a very different biological activity profile due to genetic discrepancies in different people of the same disease. For this;

• Classification of patient genetic profile in each disease,
• Image analysis,
• Clinical studies

 

We are working on expressing the interactions of molecules designed with artificial intelligence (machine learning / deep learning) methods with molecules in the patient’s body with mathematical models.

 

The most important part, the interpretation of data and results, is done in combination with both artificial intelligence and human intelligence.

As it can be understood from this situation, we cannot leave everything to the machine and we cannot WASTE 35 years of experience and knowledge…!

 

Erdem Buyukbingol