Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers-Reference-Cited by-同舟云学术

Predicting Antimalarial Activity in Natural Products Using Pretrained Bidirectional Encoder Representations from Transformers

Author:

Nguyen-Vo Thanh-Hoang¹^ORCID,Trinh Quang H.²^ORCID,Nguyen Loc²^ORCID,Do Trang T. T.³^ORCID,Chua Matthew Chin Heng⁴^ORCID,Nguyen Binh P.¹^ORCID

Affiliation:

1. School of Mathematics and Statistics, Victoria University of Wellington, Kelburn Parade, Wellington 6140, New Zealand

2. Computational Biology Center, International University−VNU HCMC, Ho Chi Minh City 700000, Vietnam

3. School of Business and Information Technology, Wellington Institute of Technology, 21 Kensington Avenue, Lower Hutt 5012, New Zealand

4. Institute of Systems Science, National University of Singapore, 29 Heng Mui Keng Terrace, Singapore 119620, Singapore

Funder

Whitireia

Wellington Institute of Technology

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

Reference57 articles.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献