Skip to main content

PDAI: A green pesticide molecule design technology platform driven by high-performance computing and artificial intelligence

Publication ,  Journal Article
Zhu, Z; Jia, M; Zhou, H; Wang, F
Published in: Advanced Agrochem
June 1, 2025

Pesticides are integral to agricultural productivity and food security. Despite the notable advancements in Computer Aided Drug Design (CADD) and Artificial Intelligence Drug Discovery (AIDD) in pharmaceuticals, their application in the pesticide sector remains underutilized. The complexity and non-user-friendly interfaces of these technologies have impeded their adoption by non-specialists, reducing their influence on pesticide creation. To overcome these obstacles, the Pesticide Discovery Artificial Intelligence (PDAI), a pioneering platform specifically tailored for the molecular design of pesticides would be a very useful tool. PDAI streamlines the innovation process, from target identification to the generation of viable pesticide candidates, optimizing key steps and simplifying the overall design workflow. This user-friendly platform significantly reduces the barriers for non-specialists, making the pesticide design process more accessible and cost-effective. Its innovative strategy promotes interdisciplinary cooperation and accessibility, inviting a broader community to advance pesticide research. For more comprehensive information of PDAI, please click on the website https://digitalpesticide.com.

Duke Scholars

Published In

Advanced Agrochem

DOI

EISSN

2773-2371

Publication Date

June 1, 2025

Volume

4

Issue

2

Start / End Page

157 / 167
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zhu, Z., Jia, M., Zhou, H., & Wang, F. (2025). PDAI: A green pesticide molecule design technology platform driven by high-performance computing and artificial intelligence. Advanced Agrochem, 4(2), 157–167. https://doi.org/10.1016/j.aac.2025.01.004
Zhu, Z., M. Jia, H. Zhou, and F. Wang. “PDAI: A green pesticide molecule design technology platform driven by high-performance computing and artificial intelligence.” Advanced Agrochem 4, no. 2 (June 1, 2025): 157–67. https://doi.org/10.1016/j.aac.2025.01.004.
Zhu, Z., et al. “PDAI: A green pesticide molecule design technology platform driven by high-performance computing and artificial intelligence.” Advanced Agrochem, vol. 4, no. 2, June 2025, pp. 157–67. Scopus, doi:10.1016/j.aac.2025.01.004.

Published In

Advanced Agrochem

DOI

EISSN

2773-2371

Publication Date

June 1, 2025

Volume

4

Issue

2

Start / End Page

157 / 167