An Eigen-Binding Site Based Method for the Analysis of Anti-EGFR Drug Resistance in Lung Cancer Treatment
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Pages (from-to) | 1187-1194 |
Journal / Publication | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Volume | 14 |
Issue number | 5 |
Online published | 12 May 2016 |
Publication status | Published - 1 Sept 2017 |
Link(s)
Abstract
We explore the drug resistance mechanism in non-small cell lung
cancer treatment by characterizing the drug-binding site of a protein mutant based
on local surface and energy features. These features are transformed to an eigen-binding site space and used for drug resistance level prediction and analysis.
Research Area(s)
- Epidermal growth factor receptor, non-small-cell lung carcinoma, tyrosine kinase inhibitor, gefitinib, binding free energy, binding site, alpha shape modeling
Citation Format(s)
An Eigen-Binding Site Based Method for the Analysis of Anti-EGFR Drug Resistance in Lung Cancer Treatment. / Ma, Lichun; Wang, Debby D.; Zou, Bin et al.
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14, No. 5, 01.09.2017, p. 1187-1194.
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14, No. 5, 01.09.2017, p. 1187-1194.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review