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targeted-therapy / targeted-therapyGenomics-Based Drug Discovery

Todd Golub

托德·戈卢布

MD

🏢Broad Institute / Dana-Farber Cancer Institute(布罗德研究所/达纳-法伯癌症研究所)🌐USA

Chief Scientific Officer, Broad Institute; Director, Cancer Program布罗德研究所首席科学官;癌症项目主任

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h-index
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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Todd Golub pioneered the use of genomics and machine learning to discover cancer vulnerabilities and match drugs to tumor subtypes. He led foundational gene expression profiling studies that redefined cancer classification and drug response prediction.

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🧪Research Fields 研究领域

Genomics-Based Drug Discovery基因组学药物发现
Cancer Dependencies癌症依赖性
Machine Learning in Oncology肿瘤学机器学习
Leukemia白血病

🎓Key Contributions 主要贡献

Gene Expression-Based Cancer Classification

Demonstrated that DNA microarray gene expression profiles could classify leukemia subtypes with high accuracy, establishing the genomic basis for molecular cancer taxonomy.

Connectivity Map for Drug Discovery

Co-developed the Connectivity Map (CMap), linking gene expression signatures of diseases to drug perturbations, enabling systematic genomics-driven drug repurposing and discovery.

Representative Works 代表性著作

[1]

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Science (1999)

Landmark study showing unsupervised gene expression profiling can discover and predict cancer subtypes, foundational for precision oncology.

[2]

The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease

Science (2006)

Introduced CMap, a resource enabling systematic identification of drugs that reverse disease gene signatures, widely used in drug discovery.

🏆Awards & Recognition 奖项与荣誉

🏆NCI Outstanding Investigator Award
🏆American Society of Hematology E. Donnall Thomas Lecture Prize
🏆AACR-Joseph H. Burchenal Award for Outstanding Achievement in Clinical Cancer Research

📄Data Sources 数据来源

Last updated: 2026-01-15 | All information from publicly available academic sources

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