Virtual Screening of Anticancer Drugs 255
Table 15.6. The library compounds favour the ‘Lipinski’s Rule of Five’ and showing good
docking interaction energy (in Kcal/mol).
PubChemID 1a25 1a35 1agw 1awn 1cdk 1mnc
CID_969516 -93.284
-110.886
-60.896
-79.784
-62.67
-92.725
CID_10595440 -96.161 -84.798 -66.114 -75.358 -61.336 -85.486
CID_24360 -68.579 -88.454 -56.159 -62.99 -73.825 -84.888
CID_442783 -58.505 -95.962 -68.764 -73.19 -58.485 -84.216
CID_9064 -62.434 -78.713 -56.782 -58.508 -78.106 -84.114
CID_5281767 -89.577 -109.977 -64.375 -61.402 -57.156 -82.609
CID_6398761 -78.512 -78.512
-78.512
-78.512
-78.512
-78.512
CID_10923720 -73.704 -73.704 -73.704 -73.704 -73.704 -73.704
CID_4259412 -72.424 -72.424 -72.424 -72.424 -72.424 -72.424
CID_638034 -71.559 -71.559 -71.559 -71.559 -71.559 -71.559
CID_5057 -71.286 -71.286 -71.286 -71.286 -71.286 -71.286
CID_11000304 -70.201 -70.201 -70.201 -70.201 -70.201 -70.201
CID_65076 -69.511 -69.511 -69.511 -69.511 -69.511 -69.511
CID_9802152 -69.507 -69.507 -69.507 -69.507 -69.507 -69.507
CID_9931851 -69.423 -69.423 -69.423 -69.423 -69.423 -69.423
CID_11821800 -67.853 -67.853 -67.853 -67.853 -67.853 -67.853
CID_5311 -67.649 -67.649 -67.649 -67.649 -67.649 -67.649
CID_9830646 -67.317 -67.317 -67.317 -67.317 -67.317 -67.317
CID_5381733 -67.239 -67.239 -67.239 -67.239 -67.239 -67.239
CID_4018 -66.356 -66.356 -66.356 -66.356 -66.356 -66.356
Note: Docking results of only few leads and receptors are summarized here with
modification.
Besides, there are examples of well known drugs, which violate the Lipinski’s rule of five
but at the same time work well pharmacologically (Table 15.8). A detailed description and
pharmacological action of known drugs/bioactive compounds and 68 potential anticancer
leads, virtually screened after Rule of five and docking based studies, is given in Table
15.9. Also for comparison, three different set of compounds and their corresponding
docking energy (in kcal/mol) against each known anticancer receptor have been
summarized in Table 15.10, which revealed that curcumin derivatives showed best
interactions with most of the anticancer receptors, compared to other set compounds
(Figure 15.2).
Docking and QSPR based virtual screening of anticancer compound
All the targets showed minimum docking of -23.239 kcal/mol with ecabet (CID_3070413).
For targets 1a25, bioactive compound curcumin (CID_10666836) showed maximum
docking score of -97.054 kcal/mol. For receptors 1a35, 1awn, 1mnc, 1p38, 1rpa, 1ydt,
1yfo, 2gss and 7ice, curcumin (CID_969516) showed maximum docking scores for each.
For anticancer target 1a35 and 1awn maximum docking scores were -110.886 and -79.784
respectively, while for targets 1mnc, 1p38, 1rpa, 1ydt, 1yfo, 2gss and 7ice docking score
was similar i.e. -92.725 kcal/mol. For receptor 1agw, maxacalcitol (CID_6398761) showed