Study on Generative Adversarial Networks (GANs) for Drug Discovery

Billa Prahas Reddy

Study on Generative Adversarial Networks (GANs) for Drug Discovery

Authors

Billa Prahas Reddy

Keywords:

machine learning (ML) and artificial intelligence (AI), GANs, drug discovery.

Abstract

Techniques for machine learning (ML) and artificial intelligence (AI) are demonstrating a lot of promise as a
foundational tool in the pharmaceutical sector. Deep learning algorithms are being used by researchers

References

DiMasi JA, Grabowski HG, Hansen RW (2016) Innovation in the pharmaceutical industry: new estimates of R&D costs. J Health Econ 47:20–33

Rashid MBMA (2021) Artificial intelligence effecting a paradigm shift in drug development. SLAS Technol 26(1):3–15

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Published

2025-07-30

How to Cite

Billa Prahas Reddy. (2025). Study on Generative Adversarial Networks (GANs) for Drug Discovery . Journal of Computational Analysis and Applications (JoCAAA), 34(7), 409–418. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3414