Deep contrastive learning enables genome-wide virtual screening

待确认 10 由 phyjun 发布于 2026/1/13 22:50:41

DOI:10.1126/science.ads9530
作者：Yinjun Jia,?Bowen Gao,?Jiaxin Tan,?Jiqing Zheng,?Xin Hong,?Wenyu Zhu,?Haichuan Tan,?Yuan Xiao,?Liping Tan,?Hongyi Cai,?Yanwen Huang,?Zhiheng Deng,?Xiangwei Wu,?Yue Jin,?Yafei Yuan,?Jiekang Tian,?Wei H
文献类型：期刊论文
补充材料：只需要正文

American Association for the Advancement of Science (AAAS)

Abstract：Recent breakthroughs in protein structure prediction have opened new avenues for genome-wide drug discovery, yet existing virtual screening methods remain computationally prohibitive. We pre

应助信息

等待求助人确认

求助人未确认前，本求助不能再次应助。36小时后系统将自动确认应助成功。本求助将自动关闭。

1天前

墩墩李

70e67df0f09011f0951234735aa3bc31.pdf

1天前

Book学术机器人

2026/1/13 22:50:41 未找到该文献，机器人已退出，请等待人工下载

2026/1/13 22:50:41 Book学术AI机器人收到请求，开始寻找文献

2026/1/13 22:50:41 已向机器人发送请求

1天前

phyjun 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierElectrophysiological correlates of cognitive control and performance monitoring in risk propensity: An event-related potential study