Modular protein engineering in emerging cancer therapies.

By E. Vázquez, N. Ferrer-Miralles, R. Mangues, J. Corchero, S. Schwartz, A. Villaverde. 2009

40 citations recorded by the source corpus.

Subfields: Biotechnology, Molecular Biology, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

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

In Molecular Biology

1. Yan Duan
2. Yun S. Song
3. Pieter Abbeel
4. John F. Canny
5. Neil Thomas
6. Xi Chen
7. Roshan Rao
8. Nicholas Bhattacharya

In Radiology, Nuclear Medicine and Imaging

1. Pieter Abbeel
2. Sergey Levine

Citations in the corpus

• Evaluating Protein Transfer Learning with TAPE (2019, background): “Improvement on these tasks range in application, including designing new antibodies [8], improving cancer diagnosis [9], and finding new antimicrobial genes hiding in the so-called “Dark Proteome”: tens of millions of sequences with no labels where existing techniques for determining protein similar”