RetroLens: A Human-AI Collaborative System for Multi-step Retrosynthetic Route Planning-Reference-Cited by-同舟云学术

RetroLens: A Human-AI Collaborative System for Multi-step Retrosynthetic Route Planning

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
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Author:

Shi Chuhan¹^ORCID,Hu Yicheng¹^ORCID,Wang Shenan²^ORCID,Ma Shuai³^ORCID,Zheng Chengbo³^ORCID,Ma Xiaojuan³^ORCID,Luo Qiong¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, China

2. School of Electronic Engineering and Computer Science, Queen Mary, University of London, United Kingdom

3. The Hong Kong University of Science and Technology, China

Funder

The Research Grants Council of the Hong Kong Special Administrative Region under General Research Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3581469

Reference106 articles.

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2. Guidelines for Human-AI Interaction

3. Human-AI Collaboration in a Cooperative Game Setting

4. Natural products in drug discovery: advances and opportunities

5. Selection of cost-effective yet chemically diverse pathways from the networks of computer-generated retrosynthetic plans

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