<scp>QuoteTarget</scp> : A sequence‐based transformer protein language model to identify potentially druggable protein targets-Reference-Cited by-同舟云学术

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QuoteTarget : A sequence‐based transformer protein language model to identify potentially druggable protein targets

Published:2023-01-26 Issue:2 Volume:32 Page:
ISSN:0961-8368
Container-title:Protein Science
language:en
Short-container-title:Protein Science

Author:

Chen Jiaxiao¹,Gu Zhonghui²,Xu Youjun³,Deng Minghua¹⁴⁵,Lai Luhua¹²⁶⁷^ORCID,Pei Jianfeng¹⁷^ORCID

Affiliation:

1. Center for Quantitative Biology Academy for Advanced Interdisciplinary Studies, Peking University Beijing China

2. Peking‐Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary Studies, Peking University Beijing China

3. Infinite Intelligence Pharma Beijing China

4. School of Mathematical Sciences Peking University Beijing China

5. Center for Statistical Science Peking University Beijing China

6. BNLMS, College of Chemistry and Molecular Engineering Peking University Beijing China

7. Research Unit of Drug Design Method Chinese Academy of Medical Sciences Beijing China

Funder

Chinese Academy of Medical Sciences

National Natural Science Foundation of China

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pro.4555

Reference47 articles.

1. The emerging landscape of single-molecule protein sequencing technologies

2. UniProtKB/Swiss-Prot

3. Prediction of liquid–liquid phase separating proteins using machine learning

4. Innovation in the pharmaceutical industry: New estimates of R&D costs

5. CD-HIT: accelerated for clustering the next-generation sequencing data

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