Semantic Scholar Open Access 2018 1467 sitasi

The rise of deep learning in drug discovery.

Hongming Chen O. Engkvist Yinhai Wang Marcus Olivecrona T. Blaschke

Lihat Sumber DOI

Abstrak

Over the past decade, deep learning has achieved remarkable success in various artificial intelligence research areas. Evolved from the previous research on artificial neural networks, this technology has shown superior performance to other machine learning algorithms in areas such as image and voice recognition, natural language processing, among others. The first wave of applications of deep learning in pharmaceutical research has emerged in recent years, and its utility has gone beyond bioactivity predictions and has shown promise in addressing diverse problems in drug discovery. Examples will be discussed covering bioactivity prediction, de novo molecular design, synthesis prediction and biological image analysis.

Topik & Kata Kunci

Medicine Computer Science

Penulis (5)

Hongming Chen

O. Engkvist

Yinhai Wang

Marcus Olivecrona

T. Blaschke

Format Sitasi

APA MLA BibTeX

Chen, H., Engkvist, O., Wang, Y., Olivecrona, M., Blaschke, T. (2018). The rise of deep learning in drug discovery.. https://doi.org/10.1016/j.drudis.2018.01.039

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.drudis.2018.01.039

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 1467×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.drudis.2018.01.039
Akses: Open Access ✓