PDAI:高性能计算与人工智能驱动的绿色农药分子设计技术平台

Ziling Zhu , Mengzhu Jia, Hao Zhou, Fan Wang
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引用次数: 0

摘要

农药是农业生产力和粮食安全不可或缺的组成部分。尽管计算机辅助药物设计(CADD)和人工智能药物发现(AIDD)在制药领域取得了显著进展,但它们在农药领域的应用仍未得到充分利用。这些技术的复杂性和非用户友好界面阻碍了非专业人员采用它们,减少了它们对农药创造的影响。为了克服这些障碍,农药发现人工智能(PDAI)是一个专门为农药分子设计量身定制的开创性平台,将是一个非常有用的工具。PDAI简化了创新过程,从目标识别到产生可行的候选农药,优化了关键步骤,简化了整体设计工作流程。这个用户友好的平台大大减少了非专业人员的障碍,使农药设计过程更容易获得和具有成本效益。其创新战略促进跨学科合作和可及性,邀请更广泛的社区推进农药研究。更多关于PDAI的详细信息,请点击网站https://digitalpesticide.com。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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