Research Article

Optimization Method of an Antibreast Cancer Drug Candidate Based on Machine Learning

Table 4

The predicted values for best-performance candidate’s operating variables.

DescriptorNormalizedReal

ALogP0.79637222.52675
ALogp20.565526301.9008
nC0.91107880.17483
ATSc10.494512.244443
ATSc20.9398632.221841
ATSc30.155460.141572
ATSc40.4525551.233483
ATSc50.4543231.587603
BCUTc-1l0.0868710.020243
BCUTc-1h0.1976270.09002
BCUTp-1l0.3485261.416559
BCUTp-1h0.306132.687486
C1SP20.84215616.84312
C3SP20.444755.337003
SCH-70.5701981.226224
VCH-50.1366730.066583
VCH-70.2841640.471843
SC-50.900262.358201
VC-40.6782210.33911
VC-50.4769080.706329
SPC-40.2234854.435693
SPC-60.73439525.70635
VPC-50.1265821.515056
VPC-60.0175490.319702
CrippenLogP0.90823923.01173
ECCEN0.86887913130.5
ndssC0.0959722.687217
SHBd0.81432314.78969
SHBint50.53675351.89493
SHBint60.49340988.24471
SHBint100.62246571.61779
SHsOH0.6807581.868451
SHaaCH0.9435569.03814
SHCsats0.36167516.73021
SHCsatu0.0057720.112306
SaaCH0.52280520.98883
SdssC0.1310284.567775
SaasC0.47238110.71859
SsOH0.94577662.06689
minHBd0.0046930.004157
minHBa0.3811936.144505
minHBint50.4147065.288915
minHBint60.6478925.650089
minHBint70.1230791.481101
minHBint100.7852489.487377
minHsOH0.8251430.730969
minHCsats0.598550.663469
minHCsatu0.1055260.118007
minssCH20.8898952.358533
mindssC0.2683251.054303
minsssN0.7355042.011435
minsOH0.96762211.35247
mindO0.2311273.32619
minssO0.2229651.499747
maxHBd0.5730010.488639
maxHBint50.5029495.811736
maxHBint70.1174211.2678
maxHBint80.1855411.72333
maxHsOH0.6094980.519763
maxHCsats0.9730251.252399
maxsssCH0.2551340.249398
maxdssC0.3223330.754448
maxdsN0.1486110.763495
maxsOH0.98206912.24723
maxssO0.7547775.077492
maxsF0.3757815.816332
hmin0.2026510.19802
gmin0.1967191.518661
LipoaffinityIndex0.3512999.693234
MAXDN0.9166395.952869
MAXDP0.6882384.738658
MAXDP20.418762.882345
ETA_Epsilon_10.7446450.275913
ETA_dEpsilon_D0.3896120.062396
ETA_Shape_Y0.9121920.399887
ETA_BetaP_s0.608270.118229
ETA_EtaP_F0.1565090.243636
nHBAcc0.76316250.36871
nAtomLAC0.88604815.94887
MDEC-140.8617664.024826
MDEC-220.38504913.60019
MDEC-230.25341713.6896
MDEC-240.1872192.285725
MDEC-330.72260835.96141
MDEO-110.3396651.592459
MDEO-120.6901972.438236
MLFER_A0.8848127.618233
MLFER_BH0.68230615.75445
MLFER_S0.98367720.57753
TopoPSA0.810281968.5693
WTPT-30.939527169.2643
WTPT-40.83622642.47587
WTPT-50.58083373.03263
XLogP0.92127416.46778
kappam30.59171538.51945
phi0.0698794.911113
LDI0.8391750.266858
Mnc0.4010810.122731
QNss0.7175543.800167
QCss0.4013350.675045
QHss0.8162121.412047
Qmin0.4584870.197608
QOmin0.9028850.557983
QNmin0.3993170.186082
QOmax0.21890.111201
QNmax0.7332150.462658
QCmax0.2196630.114005
QHmax0.3093010.08877
mChi10.707870.059461
knotp0.4634933.682452
Chiv30.50435112.68139
dchi00.53178714.54385
Chiv5ch0.3736250.159538
Chiv6ch0.8133520.252139
knotpv0.3323211.601785
naccr0.2528958.092637
PC60.68057207.574
S170.61701613.29916
S250.412333.873014
S340.47153430.94445
Smax110.0120020.028529
Smax160.2701070.819234
Smax240.1666830.618393
Smax350.1187550.798862
Smin80.950322.519298
Smin120.3457041.386271
Smin150.0944060.351002
Smin240.7959282.952893
Smin330.5610196.58187
Smin340.5550437.947103
Smin350.7272864.891723
Scar0.88144889.12223
Smax0.0897061.067416
Smin0.9537526.591381
GATSm10.8124021.001692
GATSm20.6342990.793508
GATSm30.1206940.223285
GATSm40.5109510.973362
GATSm50.0496260.135925
GATSm80.1005710.559475
GATSv10.9617470.951168
GATSv30.2820060.472642
GATSe10.9278080.905541
GATSe50.5992231.181668
GATSe70.238591.199867
GATSe80.0783740.43999
GATSp30.4378990.708521
GATSp40.9245181.591095
GATSp70.9807574.932225
TPSA10.606654694.4674
slogPVSA00.06283113.0085
slogPVSA10.21695276.48269
slogPVSA20.70006467.12981
MRVSA50.6403357.65721
MRVSA60.37416951.50251
PEOEVSA10.30277542.13574
PEOEVSA50.643223105.9755
PEOEVSA60.965518159.7043
PEOEVSA70.0106570.809047
PEOEVSA80.92956851.26194
EstateVSA10.42017390.7544
EstateVSA40.15052417.979
EstateVSA70.61702885.38316
VSAEstate10.916056260.2258
VSAEstate20.46929561.3763
VSAEstate40.1821155.816037
VSAEstate70.4340159.820449
MATSm10.2592050.199588
MATSm30.551420.600496
MATSm50.419140.43381
MATSm60.113840.224834
MATSm70.3094630.536608
MATSm80.8356158.049475
MATSv10.6913620.486719
MATSv30.4215190.464936
MATSv50.8031731.224839
MATSv80.97473910.77086
MATSe10.0443830.029914
MATSe30.8580270.967855
MATSe50.8208080.897964
MATSe80.842858.119175
MATSp10.6186760.638474
MATSp30.0316580.035141
MATSp40.9952341.393328
MATSp50.3100540.464771
MATSp60.9502851.76563
MATSp70.4011410.920218
ATSv50.4228071.369895
ATSe50.5268731.836152
ATSp4.10.9708952.954435
ATSp5.10.4415561.408123
J0.5172012.905116
BertzCT0.3315050.429631
IDE0.0179440.054297
LogP0.80956620.63664
LogP20.935064170.3864
Hy0.2584990.832883
CIC10.5316942.274054
CIC30.1952790.597359
CIC40.9473022.624027
CIC60.3152540.833533
SIC10.5341910.238783
SIC20.5483360.223173
SIC30.935920.379048
IC10.623431.283018
IC20.9612852.260943
IC30.6057571.788194
bcutm130.6867970.80836
bcutm120.0966620.106618
bcutm90.6628820.380495
bcutm30.0453070.169084
bcutm20.4497173.285183
bcutv40.7727980.863988
bcutv10.576120.338759
bcute120.3306340.366674
bcute100.7218060.510317
bcute90.5299040.349736
bcute40.3708740.411299
bcute20.7419890.470421
bcute10.1282080.061027
bcutp120.8734970.828075
bcutp90.5412040.357195
bcutp50.6697770.953092
bcutp10.8842490.579183