Semantic Scholar Open Access 2022 298 sitasi

Artificial intelligence in cancer target identification and drug discovery

Yujie You Xin Lai Ying Pan Huiru Zheng J. Vera +3 lainnya

Lihat Sumber DOI

Abstrak

Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems underlying human diseases such as cancer. Here, we review and discuss how to employ artificial intelligence approaches to identify novel anticancer targets and discover drugs. First, we describe the scope of artificial intelligence biology analysis for novel anticancer target investigations. Second, we review and discuss the basic principles and theory of commonly used network-based and machine learning-based artificial intelligence algorithms. Finally, we showcase the applications of artificial intelligence approaches in cancer target identification and drug discovery. Taken together, the artificial intelligence models have provided us with a quantitative framework to study the relationship between network characteristics and cancer, thereby leading to the identification of potential anticancer targets and the discovery of novel drug candidates.

Topik & Kata Kunci

Medicine

Penulis (8)

Yujie You

Xin Lai

Ying Pan

Huiru Zheng

J. Vera

Suran Liu

Senyi Deng

Le Zhang

Format Sitasi

APA MLA BibTeX

You, Y., Lai, X., Pan, Y., Zheng, H., Vera, J., Liu, S. et al. (2022). Artificial intelligence in cancer target identification and drug discovery. https://doi.org/10.1038/s41392-022-00994-0

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41392-022-00994-0

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Total Sitasi: 298×
Sumber Database: Semantic Scholar
DOI: 10.1038/s41392-022-00994-0
Akses: Open Access ✓