1
|
Herbst RS: Review of epidermal growth
factor receptor biology. Int J Radiat Oncol Bio Phys. 59:21–26.
2004. View Article : Google Scholar
|
2
|
Zhang H, Berezov A, Wang Q, Zhang G,
Drebin J, Murali R and Greene MI: ErbB receptors: From oncogenes to
targeted cancer therapies. J Clin Invest. 117:2051–2058. 2007.
View Article : Google Scholar : PubMed/NCBI
|
3
|
Walker F, Abramowitz L, Benabderrahmane D,
Duval X, Descatoire V, Henin D, Lehy T and Aparicio T: Growth
factor receptor expression in anal squamous lesions: Modifications
associated with oncogenic human papillomavirus and human
immunodeficiency virus. Hum Pathol. 40:1517–1527. 2009. View Article : Google Scholar : PubMed/NCBI
|
4
|
Lynch TJ, Bell DW, Sordella R,
Gurubhagavatula S, Okimoto RA, Brannigan BW, Harris PL, Haserlat
SM, Supko JG, Haluska FG, et al: Activating mutations in the
epidermal growth factor receptor underlying responsiveness of
non-small-cell lung cancer to gefitinib. N Engl J Med.
350:2129–2139. 2004. View Article : Google Scholar : PubMed/NCBI
|
5
|
Kuan CT, Wikstrand CJ and Bigner DD: EGF
mutant receptor vIII as a molecular target in cancer therapy.
Endocr-Relat Cancer. 8:83–96. 2001. View Article : Google Scholar : PubMed/NCBI
|
6
|
Liang FP, Lien JC, Wu YH, Chen CS and
Juang SH: Em08red, a dual functional antiproliferative emodin
analogue, is a downregulator of ErbB2 expression and inducer of
intracellular oxidative stress. Drug Des Devel Ther. 9:1499–1510.
2015.PubMed/NCBI
|
7
|
Shia CS, Suresh G, Hou YC, Lin YC, Chao PD
and Juang SH: Suppression on metastasis by rhubarb through
modulation on MMP-2 and uPA in human A549 lung adenocarcinoma: An
ex vivo approach. J Ethnopharmacol. 133:426–433. 2011. View Article : Google Scholar
|
8
|
Huang Q, Lu G, Shen HM, Chung MC and Ong
CN: Anti-cancer properties of anthraquinones from rhubarb. Med Res
Rev. 27:609–630. 2007. View Article : Google Scholar
|
9
|
Lee MS, Cha EY, Sul JY, Song IS and Kim
JY: Chrysophanic acid blocks proliferation of colon cancer cells by
inhibiting EGFR/mTOR pathway. Phytother Res. 25:833–837. 2011.
View Article : Google Scholar
|
10
|
Heald R, Bowman KK, Bryan MC, Burdick D,
Chan B, Chan E, Chen Y, Clausen S, Dominguez-Fernandez B, Eigenbrot
C, et al: Noncovalent mutant selective epidermal growth factor
receptor inhibitors: A lead optimization case study. J Med Chem.
58:8877–8895. 2015. View Article : Google Scholar : PubMed/NCBI
|
11
|
Brooks BR, Bruccoleri RE, Olafson BD,
States DJ, Swaminathan S and Karplus M: CHARMM: A program for
macromolecular energy minimization and dynamics calculations. J
Comput Chem. 4:187–217. 1983. View Article : Google Scholar
|
12
|
Fan R-E, Chen P-H and Lin C-J: Working set
selection using second order information for training support
vector machines. J Mach Learn Res. 6:1889–1918. 2005.
|
13
|
Rogers D and Hopfinger AJ: Application of
genetic function approximation to quantitative structure-activity
relationships and quantitative structure-property relationships. J
Chem Inf Comput Sci. 34:854–866. 1994. View Article : Google Scholar
|
14
|
Venkatachalam CM, Jiang X, Oldfield T and
Waldman M: LigandFit: A novel method for the shape-directed rapid
docking of ligands to protein active sites. J Mol Graphics
Modelling. 21:289–307. 2003. View Article : Google Scholar
|
15
|
Hartigan JA: Clustering Algorithms. John
Wiley & Sons Inc;
|
16
|
Gehlhaar DK, Verkhivker GM, Rejto PA,
Sherman CJ, Fogel DB, Fogel LJ and Freer ST: Molecular recognition
of the inhibitor Ag-1343 by Hiv-1 protease-conformationally
flexible docking by evolutionary programmin g. Chem Biol.
2:317–324. 1995. View Article : Google Scholar : PubMed/NCBI
|
17
|
Gehlhaar Daniel K, Bouzida D and Rejto
Paul A: Reduced dimensionality in ligand - Protein structure
prediction: Covalent inhibitors of serine proteases and design of
site-directed combinatorial libraries. Ration Drug Des Am Chem Soc.
719:292–311. 1999. View Article : Google Scholar
|
18
|
Muegge I and Martin YC: A general and fast
scoring function for protein-ligand interactions: A simplified
potential approach. J Med Chem. 42:791–804. 1999. View Article : Google Scholar : PubMed/NCBI
|
19
|
Cramer RD, Patterson DE and Bunce JD:
Comparative molecular field analysis (CoMFA). 1. Effect of shape on
binding of steroids to carrier proteins. J Am Chem Soc.
110:5959–5967. 1988. View Article : Google Scholar : PubMed/NCBI
|
20
|
Klebe G, Abraham U and Mietzner T:
Molecular similarity indices in a comparative analysis (CoMSIA) of
drug molecules to correlate and predict their biological activity.
J Med Chem. 37:4130–4146. 1994. View Article : Google Scholar : PubMed/NCBI
|
21
|
Hall LH, Mohney B and Kier LB: The
electrotopological state: Structure information at the atomic level
for molecular graphs. J Chem Inf Comput Sci. 31:76–82. 1991.
View Article : Google Scholar
|
22
|
Hall LH and Kier LB: The E-state as the
basis for molecular structure space definition and structure
similarity. J Chem Inf Comput Sci. 40:784–791. 2000. View Article : Google Scholar : PubMed/NCBI
|
23
|
Stanton DT and Jurs PC: Development and
use of charged partial surface area structural descriptors in
computer-assisted quantitative structure-property relationship
studies. Anal Chem. 62:2323–2329. 1990. View Article : Google Scholar
|
24
|
Rohrbaugh RH and Jurs PC: Descriptions of
molecular shape applied in studies of structure/activity and
structure/property relationships. Analytica Chimica Acta.
199:99–109. 1987. View Article : Google Scholar
|