一种用于抗生素发现的深度学习方法。 - Suppr | 超能文献

A Deep Learning Approach to Antibiotic Discovery.

作者信息

Stokes Jonathan M, Yang Kevin, Swanson Kyle, Jin Wengong, Cubillos-Ruiz Andres, Donghia Nina M, MacNair Craig R, French Shawn, Carfrae Lindsey A, Bloom-Ackermann Zohar, Tran Victoria M, Chiappino-Pepe Anush, Badran Ahmed H, Andrews Ian W, Chory Emma J, Church George M, Brown Eric D, Jaakkola Tommi S, Barzilay Regina, Collins James J

出版信息

Cell. 2020 Apr 16;181(2):475-483. doi: 10.1016/j.cell.2020.04.001.

DOI:10.1016/j.cell.2020.04.001

Abstract

摘要

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍。

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

文档翻译

学术文献翻译模型，支持多种主流文档格式。

相似文献

1

A Deep Learning Approach to Antibiotic Discovery.一种用于抗生素发现的深度学习方法。

Cell. 2020 Apr 16;181(2):475-483. doi: 10.1016/j.cell.2020.04.001.

2

DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data.DeepARG：一种从宏基因组数据中预测抗生素耐药基因的深度学习方法。

Microbiome. 2018 Feb 1;6(1):23. doi: 10.1186/s40168-018-0401-z.

3

DeepScreening: a deep learning-based screening web server for accelerating drug discovery.DeepScreening：一个基于深度学习的药物筛选网络服务器，用于加速药物发现。

Database (Oxford). 2019 Jan 1;2019. doi: 10.1093/database/baz104.

4

From machine learning to deep learning: progress in machine intelligence for rational drug discovery.从机器学习到深度学习：用于理性药物发现的机器智能的进展。

Drug Discov Today. 2017 Nov;22(11):1680-1685. doi: 10.1016/j.drudis.2017.08.010. Epub 2017 Sep 4.

5

Applications of Deep Learning in Biomedicine.深度学习在生物医学中的应用。

Mol Pharm. 2016 May 2;13(5):1445-54. doi: 10.1021/acs.molpharmaceut.5b00982. Epub 2016 Mar 29.

6

Geometric Deep Learning Autonomously Learns Chemical Features That Outperform Those Engineered by Domain Experts.几何深度学习自主学习的化学特征优于领域专家设计的特征。

Mol Pharm. 2018 Oct 1;15(10):4371-4377. doi: 10.1021/acs.molpharmaceut.7b01144. Epub 2018 Jul 7.

7

Applications of deep learning for the analysis of medical data.深度学习在医学数据分析中的应用。

Arch Pharm Res. 2019 Jun;42(6):492-504. doi: 10.1007/s12272-019-01162-9. Epub 2019 May 28.

8

Deep Learning in Drug Discovery.药物研发中的深度学习

Mol Inform. 2016 Jan;35(1):3-14. doi: 10.1002/minf.201501008. Epub 2015 Dec 30.

9

A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction.一种用于从头预测蛋白质二级结构的深度学习网络方法。

IEEE/ACM Trans Comput Biol Bioinform. 2015 Jan-Feb;12(1):103-12. doi: 10.1109/TCBB.2014.2343960. Epub 2014 Aug 7.

10

A Structure-Based Drug Discovery Paradigm.基于结构的药物发现范式。

Int J Mol Sci. 2019 Jun 6;20(11):2783. doi: 10.3390/ijms20112783.

引用本文的文献

1

Human amylin is a potent antimicrobial peptide that exhibits antimicrobial synergism with the amyloid beta protein.人胰岛淀粉样多肽是一种有效的抗菌肽，与β-淀粉样蛋白具有抗菌协同作用。

Alzheimers Dement. 2025 Aug;21(8):e70490. doi: 10.1002/alz.70490.

2

Target identification of natural products in cancer with chemical proteomics and artificial intelligence approaches.利用化学蛋白质组学和人工智能方法鉴定癌症中天然产物的靶点

Cancer Biol Med. 2025 Jul 9;22(6):549-97. doi: 10.20892/j.issn.2095-3941.2025.0145.

3

A deep learning and digital archaeology approach for mosquito repellent discovery.一种用于驱蚊剂发现的深度学习与数字考古学方法。

Chem Senses. 2025 Jan 22;50. doi: 10.1093/chemse/bjaf021.

4

Development and Application of a Senolytic Predictor for Discovery of Novel Senolytic Compounds and Herbs.用于发现新型衰老细胞裂解化合物和草药的衰老细胞裂解预测器的开发与应用

Molecules. 2025 Jun 19;30(12):2653. doi: 10.3390/molecules30122653.

5

Role of C-Jun N-Terminal Kinases on a Stressed Epithelium: Time for Testing Isoform Specificity.C-Jun氨基末端激酶在应激上皮中的作用：检验亚型特异性的时候到了。

Biology (Basel). 2025 Jun 3;14(6):649. doi: 10.3390/biology14060649.

6

NIR-II-Activated iridium single-atom nanozymes for synergistic antibacterial therapy and tissue regeneration in MRSA-infected wounds and acute lung injury.用于耐甲氧西林金黄色葡萄球菌感染伤口和急性肺损伤的协同抗菌治疗及组织再生的近红外二区激活铱单原子纳米酶

Bioact Mater. 2025 May 24;51:543-558. doi: 10.1016/j.bioactmat.2025.05.022. eCollection 2025 Sep.

7

Novel Antibacterial Approaches and Therapeutic Strategies.新型抗菌方法与治疗策略

Antibiotics (Basel). 2025 Apr 15;14(4):404. doi: 10.3390/antibiotics14040404.

8

Artificial intelligence accelerates the identification of nature-derived potent LOXL2 inhibitors.人工智能加速了天然来源的高效赖氨酰氧化酶样蛋白2（LOXL2）抑制剂的鉴定。

Sci Rep. 2025 Mar 27;15(1):10540. doi: 10.1038/s41598-025-95530-9.

9

Identification of chemical features that influence mycomembrane permeation and antitubercular activity.影响真菌细胞膜渗透和抗结核活性的化学特征的鉴定。

bioRxiv. 2025 Feb 27:2025.02.27.640664. doi: 10.1101/2025.02.27.640664.

10

Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis.绘制抗菌药物耐药性人工智能领域的知识图谱与新趋势：文献计量与可视化分析

Front Med (Lausanne). 2025 Jan 28;12:1492709. doi: 10.3389/fmed.2025.1492709. eCollection 2025.