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Predicted candidate drugs for treating pancreatic cancer.

Figshare2016-02-29 更新2026-04-29 收录

胰腺癌药物发现

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https://figshare.com/articles/dataset/Predicted_candidate_drugs_for_treating_pancreatic_cancer_/3037324 数据链接链接失效反馈

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Predicted candidate drugs for treating pancreatic cancer.

用于治疗胰腺癌（pancreatic cancer）的预测候选药物

应用场景：

创建时间：

2016-02-29

胰腺癌药物发现

真菌多酮类化合物

Fungal secondary metabolites are inherently considered valuable resources for new drugs discovery. To search for novel fungal secondary metabolites with lead compounds potential, a fungal strain Penic

NIAID Data Ecosystem100

Additional file 2 of Establishment of patient-derived organoids and a characterization-based drug discovery platform for treatment of pancreatic cancer

患者来源类器官

胰腺癌药物发现

Additional file 2.

NIAID Data Ecosystem50

WES of pancreatic PDX Models

胰腺癌药物发现

肿瘤模型基因组分析

Molecular characterization of patient-derived xenograft models to accelarate tumor research and drug discovery.

NIAID Data Ecosystem30

Connectivity Mapping-based Identification and Pre-clinical Evaluation of ISOX: A Novel Therapeutic for Pancreatic Cancer. Connectivity Mapping-based Identification and Pre-clinical Evaluation of ISOX: A Novel Therapeutic for Pancreatic Cancer

胰腺癌药物发现

临床前药效评估

Pancreatic Cancer (PC) remains highly lethal due to limited therapeutic options. Here we utilize a genomic-data-driven Connectivity Mapping (CMAP) to identify a drug closer to real-world PC targeting.

NIAID Data Ecosystem50

Discovery of a Highly Potent and Orally Bioavailable STAT3 Dual Phosphorylation Inhibitor for Pancreatic Cancer Treatment

胰腺癌药物发现

STAT3信号通路

Increasing evidence has demonstrated that STAT3 phosphorylation at Tyr705 and Ser727 is closely associated with the progression and poor prognosis of pancreatic cancer. Herein, we report the function-

NIAID Data Ecosystem30

Predicted candidate drugs for treating pancreatic cancer.

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