PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications-Reference-Cited by-同舟云学术

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PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications

Published:2024-08-02 Issue:1 Volume:16 Page:
ISSN:1758-2946
Container-title:Journal of Cheminformatics
language:en
Short-container-title:J Cheminform

Author:

Tan Yang,Li Mingchen,Zhou Ziyi,Tan Pan,Yu Huiqun,Fan Guisheng,Hong Liang

Funder

Shanghai Jiao Tong University Scientific and Technological Innovation Funds

Research Programme of National Engineering Labo- ratory for Big Data Distribution and Exchange Technologies, Shanghai Municipal Special Fund for Promoting High Quality Development

Inno-vation Program of Shanghai Municipal Education Commission

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s13321-024-00884-3.pdf

Reference128 articles.

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2. Hsu PD, Lander ES, Zhang F (2014) Development and applications of crispr-cas9 for genome engineering. Cell 157(6):1262–1278

3. Scott DE, Bayly AR, Abell C, Skidmore J (2016) Small molecules, big targets: Drug discovery faces the protein-protein interaction challenge. Nat Rev Drug Dis 15(8):533–550

4. Lee HC (2006) Structure and enzymatic functions of human cd38. Mol Med 12(11):317–323

5. Joo H, Lin Z, Arnold FH (1999) Laboratory evolution of peroxide-mediated cytochrome p450 hydroxylation. Nature 399(6737):670–673

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