Trustworthy Compound-Protein Interaction Prediction with Interpretable and Conformalized Cross-Attention Transformers.

已完结 20 由 xba 发布于 2026/3/20 12:53:48

DOI:10.1021/acs.jcim.5c02709
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1021/acs.jcim.5c02709

American Chemical Society (ACS)

Abstract：Deep learning has accelerated drug discovery by enabling large-scale virtual screening, but current models often act as "black boxes" and provide no formal guarantees about prediction reliab

应助信息

1天前

春风吹

fa871489241911f1b8af34735aa3bc31.pdf 已采纳

1天前

Book学术机器人

2026/3/20 12:53:48 未找到该文献，机器人已退出，请等待人工下载

2026/3/20 12:53:48 Book学术AI机器人收到请求，开始寻找文献

2026/3/20 12:53:48 已向机器人发送请求

1天前

xba 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:Proceedings of the National Academy of Sciences of the United States of America (PNAS)Biosphere expansion drives Earth’s secular oxygenation while tectonics modulate oxygen variability revealed by machine learning