Evaluation of anti-EGFR-iRGD recombinant protein with GOLD nanoparticles: synergistic effect on antitumor efficiency using optimized deep neural networks-Reference-Cited by-同舟云学术

Evaluation of anti-EGFR-iRGD recombinant protein with GOLD nanoparticles: synergistic effect on antitumor efficiency using optimized deep neural networks

Published:2019 Issue:34 Volume:9 Page:19261-19270
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Chandra Kaushik Aman¹²³⁴⁵,Wang Yan-Jing¹²³⁴⁵,Wang Xiangeng¹²³⁴⁵,Kumar Ajay⁶⁷⁸⁹¹⁰,Singh Satya P.¹¹¹²¹³,Pan Cheng-Tang¹⁰⁷⁸⁹¹⁴,Shiue Yow-Ling⁶⁷⁸⁹,Wei Dong-Qing¹²³⁴⁵^ORCID

Affiliation:

1. The State Key Laboratory of Microbial Metabolism

2. School of Life Sciences and Biotechnology

3. Shanghai Jiao Tong University

4. Shanghai

5. China

6. Institute of Biomedical Sciences

7. National Sun Yat-Sen University

8. Kaohsiung City 804

9. Taiwan

10. Department of Mechanical and Electro-Mechanical Engineering

11. School of Electrical and Electronic Engineering

12. Nanyang Technological University

13. Singapore

14. Institute of Medical Science and Technology

Abstract

NP screening through a deep learning approach against Anti-EGFR and validation through docking with AuNP. Biochemical pathway and simulation of AuNP with Anti-EGFR and further implementation in biological circuits.

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/RA/C9RA01975H

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