Integrated deep learned transcriptomic and structure-based predictor of clinical trials outcomes

By Artem V. Artemov, E. Putin, Quentin Vanhaelen, Alexander M. Aliper, I. Ozerov, A. Zhavoronkov. 2016

33 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Sergey I. Nikolenko
2. A. Zhavoronkov

In Molecular Biology

1. Sergey I. Nikolenko

Citations in the corpus

• Artificial intelligence in drug development (2025, unknown): “246), we can be judiciously optimistic about AI’s promise for accelerating drug development and benefiting human health.”
• druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico. (2017, background): “[7, 8], drug discovery [4, 9, 10], predicting clinical trial outcomes [11], and generating”