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Article

Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Qureshi Rizwan, Zou Bin, Alam Tanvir, Wu Jia, Lee Victor H F, Yan Hong

Abstract excerpt

Lung cancer is a major cause of cancer deaths worldwide, and has a very low survival rate. Non-small cell lung cancer (NSCLC) is the largest subset of lung cancers, which accounts for about 85% of all cases. It has been well established that a mutation in the epidermal growth factor receptor (EGFR) can lead to lung cancer. EGFR Tyrosine Kinase Inhibitors (TKIs) are developed to target the kinase domain of EGFR....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 35007197
DOI: 10.1109/TCBB.2022.3141697

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