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- W4205124816 abstract "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 mutation in epidermal growth factor receptor (EGFR) can lead to lung cancer. EGFR Tyrosine Kinase Inhibitors are developed to target the kinase domain of EGFR. These TKIs produce promising results at initial stage of therapy, but the efficacy becomes limited due to the development of drug resistance. In this paper, we provide a comprehensive overview of computational methods, for understanding drug resistance mechanisms. Next, we evaluate the role of important EGFR parameters in drug resistance mechanism, including structural dynamics, stability, dimerization, binding free energies, and signaling pathways. Personalized drug resistance prediction models, drug response curves, drug synergy, and other data-driven methods are also discussed. We explore limitations in the current methodologies and discuss strategies to overcome them. We believe this review will serve as a reference for researchers; to apply computational techniques for precision medicine, analyzing structures of protein-drug complexes, drug discovery, and understanding the drug response and resistance mechanisms in lung cancer patients." @default.
- W4205124816 created "2022-01-25" @default.
- W4205124816 creator A5005150832 @default.
- W4205124816 creator A5006220393 @default.
- W4205124816 creator A5042683997 @default.
- W4205124816 creator A5050513983 @default.
- W4205124816 creator A5070808098 @default.
- W4205124816 creator A5073854686 @default.
- W4205124816 date "2022-01-01" @default.
- W4205124816 modified "2023-10-16" @default.
- W4205124816 title "Computational Methods for the Analysis and Prediction of EGFR-mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects" @default.
- W4205124816 cites W129942927 @default.
- W4205124816 cites W1520194282 @default.
- W4205124816 cites W1523002040 @default.
- W4205124816 cites W1526983978 @default.
- W4205124816 cites W1546552389 @default.
- W4205124816 cites W1549357029 @default.
- W4205124816 cites W1549816642 @default.
- W4205124816 cites W1834835434 @default.
- W4205124816 cites W1929984647 @default.
- W4205124816 cites W1966803171 @default.
- W4205124816 cites W1967394241 @default.
- W4205124816 cites W1968324646 @default.
- W4205124816 cites W1971848312 @default.
- W4205124816 cites W1973494171 @default.
- W4205124816 cites W1977185509 @default.
- W4205124816 cites W1981078630 @default.
- W4205124816 cites W1982660347 @default.
- W4205124816 cites W1988782368 @default.
- W4205124816 cites W1989228404 @default.
- W4205124816 cites W1991098690 @default.
- W4205124816 cites W1993169666 @default.
- W4205124816 cites W1997291694 @default.
- W4205124816 cites W1999491936 @default.
- W4205124816 cites W2000231857 @default.
- W4205124816 cites W2000572824 @default.
- W4205124816 cites W2005312471 @default.
- W4205124816 cites W2005474992 @default.
- W4205124816 cites W2012800796 @default.
- W4205124816 cites W2014849405 @default.
- W4205124816 cites W2016710415 @default.
- W4205124816 cites W2018594213 @default.
- W4205124816 cites W2022948223 @default.
- W4205124816 cites W2027109368 @default.
- W4205124816 cites W2028593825 @default.
- W4205124816 cites W2031973565 @default.
- W4205124816 cites W2033231433 @default.
- W4205124816 cites W2038682861 @default.
- W4205124816 cites W2040299716 @default.
- W4205124816 cites W2043398720 @default.
- W4205124816 cites W2044722516 @default.
- W4205124816 cites W2046799991 @default.
- W4205124816 cites W2054141820 @default.
- W4205124816 cites W2070595900 @default.
- W4205124816 cites W2071040849 @default.
- W4205124816 cites W2073758233 @default.
- W4205124816 cites W2078290150 @default.
- W4205124816 cites W2078933151 @default.
- W4205124816 cites W2080601747 @default.
- W4205124816 cites W2082586732 @default.
- W4205124816 cites W2084817237 @default.
- W4205124816 cites W2089872551 @default.
- W4205124816 cites W2090198980 @default.
- W4205124816 cites W2093858501 @default.
- W4205124816 cites W2095124748 @default.
- W4205124816 cites W2097099115 @default.
- W4205124816 cites W2101786389 @default.
- W4205124816 cites W2102273931 @default.
- W4205124816 cites W2102316672 @default.
- W4205124816 cites W2102365935 @default.
- W4205124816 cites W2104167441 @default.
- W4205124816 cites W2108068107 @default.
- W4205124816 cites W2109773217 @default.
- W4205124816 cites W2110655770 @default.
- W4205124816 cites W2110782084 @default.
- W4205124816 cites W2111072639 @default.
- W4205124816 cites W2111662961 @default.
- W4205124816 cites W2112937261 @default.
- W4205124816 cites W2114933215 @default.
- W4205124816 cites W2115733720 @default.
- W4205124816 cites W2118233996 @default.
- W4205124816 cites W2127760066 @default.
- W4205124816 cites W2129258733 @default.
- W4205124816 cites W2132870547 @default.
- W4205124816 cites W2134574317 @default.
- W4205124816 cites W2135192471 @default.
- W4205124816 cites W2137297899 @default.
- W4205124816 cites W2139119404 @default.
- W4205124816 cites W2139236349 @default.
- W4205124816 cites W2142544064 @default.
- W4205124816 cites W2147925490 @default.
- W4205124816 cites W2147988069 @default.
- W4205124816 cites W2149441684 @default.
- W4205124816 cites W2151357092 @default.
- W4205124816 cites W2154969724 @default.
- W4205124816 cites W2157077639 @default.
- W4205124816 cites W2159013299 @default.
- W4205124816 cites W2161821474 @default.