Prediction of sensitivity to gefitinib/erlotinib for EGFR mutations in NSCLC based on structural interaction fingerprints and multilinear principal component analysis

Prediction of sensitivity to gefitinib/erlotinib for EGFR mutations in NSCLC based on structural interaction fingerprints and multilinear principal component analysis

Abstract Background Non-small cell lung cancer (NSCLC) with activating EGFR mutations, especially exon 19 deletions and the L858R point mutation, is particularly responsive to gefitinib and erlotinib. However, the sensitivity varies for less common and rare EGFR mutations. There are various explanat...

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Bibliographic Details
Main Authors: Bin Zou, Victor H. F. Lee, Hong Yan
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Epidermal growth factor receptor mutation
Molecular dynamics simulations
Interaction fingerprints
Multilinear principal component analysis
Online Access:http://link.springer.com/article/10.1186/s12859-018-2093-6

Internet

http://link.springer.com/article/10.1186/s12859-018-2093-6

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