Learning to learn how to design drugs

学习如何设计药物

• 批准号: EP/K030582/1
• 负责人: Larisa Soldatova
• 金额: $ 22.07万
• 依托单位: Brunel University London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK030582%2F1
• 关键词: Learning; learn; how; design; drugs

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

目前，GtR 中尚未提供所有资助研究的摘要。这通常是因为在提交提案时不需要摘要，但可能是因为它包含个人详细信息等敏感信息。

项目成果

Predicting rice phenotypes with meta and multi-target learning

• DOI: 10.1007/s10994-020-05881-9
• 发表时间: 2020-08
• 期刊: Machine Learning
• 影响因子: 7.5
• 作者: Oghenejokpeme I. Orhobor;N. Alexandrov;R. King

Transformational machine learning: Learning how to learn from many related scientific problems.

• DOI: 10.1073/pnas.2108013118
• 发表时间: 2021-12-07
• 期刊: Proceedings of the National Academy of Sciences of the United States of America
• 影响因子: 11.1
• 作者: Olier I;Orhobor OI;Dash T;Davis AM;Soldatova LN;Vanschoren J;King RD
• 通讯作者: King RD

Ontology of core data mining entities

• DOI: 10.1007/s10618-014-0363-0
• 发表时间: 2014-09-01
• 期刊: DATA MINING AND KNOWLEDGE DISCOVERY
• 影响因子: 4.8
• 作者: Panov, Pance;Soldatova, Larisa;Dzeroski, Saso
• 通讯作者: Dzeroski, Saso

NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding.

• DOI: 10.1038/s41540-021-00200-x
• 发表时间: 2021-10-20
• 期刊: NPJ systems biology and applications
• 影响因子: 4
• 作者: Wang K;Stevens R;Alachram H;Li Y;Soldatova L;King R;Ananiadou S;Schoene AM;Li M;Christopoulou F;Ambite JL;Matthew J;Garg S;Hermjakob U;Marcu D;Sheng E;Beißbarth T;Wingender E;Galstyan A;Gao X;Chambers B;Pan W;Khomtchouk BB;Evans JA;Rzhetsky A
• 通讯作者: Rzhetsky A

Multi-task learning with a natural metric for quantitative structure activity relationship learning.

具有自然度量的多任务学习，用于定量结构活动关系学习。

• DOI: 10.1186/s13321-019-0392-1
• 发表时间: 2019
• 期刊: Journal of cheminformatics
• 影响因子: 8.6
• 作者: Sadawi N