ACD/LogP DB
vs. Competition
|
|
Other Comparisons
ACD/LogP
has been tested against the following calculation methods:
- ALOGP - the
atomic constant approach of Viswanadhan,
- BLOGP - the
molecular orbital approach of Bodor,
- CLOGP - the
fragmental constant approach of Leo, and
- KLOGP - the
extended group contribution approach of Klopman.
Comparisons (Calculations are made using ACD/LogP DB version 5.0)
- Table
1:
Compare the experimental logP values (LogPExp)
of 47 nucleosides and nucleoside bases to those calculated by
different methods.
- Table
2:
Compare the results of correlations between the experimental and
calculated logP values for the different methods from
the Table 1.
- Table
3:
Compare ACD/LogP to LOGK developed by Klopman et al. for
the selected compounds:
- Table
4:
Compares the results of correlations for all of 71 structures
which have proven difficult to calculate using the LOGK method.
Table 1:
- The following table compares the
experimental logP values (LogPExp)
of 47 nucleosides and nucleoside bases to those calculated by
different methods:
|
No.
|
Name
|
LogPExp
|
ACD/LogP
|
KLOGP
|
ALOGP
|
CLOGP
|
BLOGP
|
| 1 |
Ado
|
-1.23 |
-1.26±
0.46 |
-2.13 |
-1.240 |
-2.941 |
0.182 |
| 2 |
dAdo
|
-0.54 |
-0.53±
0.58 |
-1.29 |
-0.630 |
-2.531 |
0.356 |
| 3 |
ddAdo
|
-0.21 |
-0.49±
0.45 |
-0.46 |
-0.190 |
-1.116 |
0.406 |
| 4 |
ddeAdo
|
-0.35 |
-0.56±
0.48 |
-0.42 |
0.040 |
-1.600 |
0.379 |
| 5 |
FddAdo
|
0.08 |
-0.49±
0.54 |
-0.23 |
-0.020 |
-1.273 |
0.522 |
| 6 |
Guo
|
-1.89 |
-1.89±
0.52 |
-3.09 |
-1.630 |
-3.923 |
-0.210 |
| 7 |
dGuo
|
-1.30 |
-1.28±
0.62 |
-2.26 |
-1.010 |
-3.338 |
-0.013 |
| 8 |
ddGuo
|
-1.00 |
-0.73±
0.52 |
-1.43 |
-0.580 |
-1.923 |
0.177 |
| 9 |
ddeGuo
|
-1.21 |
-0.80±
0.54 |
-1.39 |
-0.350 |
-2.407 |
0.115 |
| 10 |
dDAPR
|
-0.52 |
-0.55±
0.58 |
-1.38 |
-0.910 |
-2.592 |
-0.101 |
| 11 |
ddDAPR
|
-0.46 |
-0.52±
0.46 |
-0.55 |
-0.470 |
0.067 |
0.067 |
| 12 |
FddDAPR
|
0.05 |
-0.52±
0.54 |
-0.32 |
-0.300 |
-1.333 |
0.249 |
| 13 |
Urd
|
-1.71 |
-1.78±
0.39 |
-2.28 |
-1.590 |
-2.560 |
0.085 |
| 14 |
dUrd
|
-1.50 |
-1.47±
0.49 |
-1.44 |
-0.980 |
-2.090 |
0.456 |
| 15 |
ddUrd
|
-0.88 |
-1.18±
0.39 |
-0.61 |
-0.540 |
-0.675 |
0.667 |
| 16 |
ddeUrd
|
-1.07 |
-1.26±
0.40 |
-0.57 |
-0.320 |
-1.159 |
0.645 |
| 17 |
FddUrd
|
-0.48 |
-1.15±
0.45 |
-0.38 |
-0.370 |
-0.832 |
0.912 |
| 18 |
dThd
|
-1.17 |
-1.18±
0.50 |
-1.03 |
-0.820 |
-1.591 |
0.817 |
| 19 |
ddThd
|
-0.63 |
-0.82±
0.39 |
-0.20 |
-0.390 |
-0.176 |
1.042 |
| 20 |
ddeThd
|
-0.81 |
-0.90±
0.40 |
-0.16 |
-0.160 |
-0.660 |
0.999 |
| 21 |
FddThd
|
-0.27 |
-0.82±
0.46 |
0.03 |
-0.220 |
-0.333 |
1.269 |
| 22 |
Cyd
|
-2.51 |
-2.10±
0.39 |
-2.86 |
-1.420 |
-3.111 |
0.113 |
| 23 |
dCyd
|
-1.77 |
-1.79±
0.49 |
-2.03 |
-0.810 |
-2.549 |
0.478 |
| 24 |
ddCyd
|
-1.30 |
-1.50±
0.39 |
-1.20 |
-0.370 |
-1.133 |
0.619 |
| 25 |
ddeCyd
|
-1.42 |
-1.59±
0.40 |
-1.16 |
-0.140 |
-1.617 |
0.571 |
| 26 |
FddCyd
|
-0.91 |
-1.51±
0.46 |
-0.97 |
-0.200 |
-1.290 |
0.775 |
| 27 |
F6ddP
|
0.00 |
-0.20±
0.45 |
0.28 |
0.490 |
-0.906 |
0.247 |
| 28 |
F62AddP
|
-0.05 |
-0.25±
0.45 |
-0.11 |
0.210 |
-0.970 |
0.375 |
| 29 |
Br6ddP
|
0.35 |
0.15±
0.45 |
0.81 |
1.080 |
-0.356 |
0.798 |
| 30 |
Br62AddP
|
0.33 |
0.14±
0.45 |
0.42 |
0.800 |
-0.420 |
0.765 |
| 31 |
Cl6ddP
|
0.23 |
0.04±
0.40 |
0.50 |
0.780 |
-0.386 |
0.489 |
| 32 |
Cl62AddP
|
0.21 |
0.01±
0.40 |
0.11 |
0.500 |
-0.450 |
0.545 |
| 33 |
I6ddP
|
0.52 |
0.33±
0.45 |
1.00 |
1.080 |
0.074 |
1.011 |
| 34 |
I62AddP
|
0.52 |
0.32±
0.45 |
0.61 |
0.800 |
0.010 |
0.996 |
| 35 |
ddI
|
-1.24 |
-1.33±
0.50 |
-1.55 |
-0.950 |
-1.755 |
-0.335 |
| 36 |
uracil
|
-1.07 |
-0.71±
0.29 |
-0.86 |
-0.720 |
-1.060 |
-0.585 |
| 37 |
adenine,
8Aza |
-0.96 |
-0.94±
0.40 |
-0.11 |
-0.670 |
-0.063 |
-0.034 |
| 38 |
guanine,
8Aza |
-0.71 |
-0.71±
0.47 |
-1.14 |
-1.060 |
-1.004 |
-0.836 |
| 39 |
cytocine
|
-1.73 |
-1.71±
0.37 |
-1.45 |
-0.550 |
-1.846 |
-0.769 |
| 40 |
adenine
|
-0.09 |
-0.09±
0.39 |
0.23 |
-0.360 |
-0.426 |
0.036 |
| 41 |
thioguanine
|
-0.07 |
-0.08±
0.42 |
-0.37 |
-0.020 |
-1.824 |
0.308 |
| 42 |
adenine,
9Ppl |
0.74 |
0.73±
0.38 |
0.50 |
0.690 |
0.437 |
1.327 |
| 43 |
uracil,
6Aza |
-0.59 |
-1.95±
0.63 |
-0.91 |
-0.490 |
-0.593 |
-1.013 |
| 44 |
guanine
|
-0.91 |
-0.90±
0.38 |
-1.17 |
-0.750 |
-1.264 |
-0.891 |
| 45 |
thymine
|
-0.62 |
-0.12±
0.29 |
-0.45 |
-0.560 |
-0.557 |
-0.130 |
| 46 |
hypoxanthine
|
-1.11 |
-1.11±
0.39 |
-0.89 |
-0.880 |
-1.260 |
-0.873 |
| 47 |
purine
|
-0.37 |
-0.37±
0.24 |
0.53 |
-0.280 |
-0.290 |
-0.139 |
In this table the experimental data
and results of calculations by KLOGP, ALOGP CLOGP and BLOGP have
been taken from the following references:
Viswanadhan, V. N.; et al, J.
Comput. Chem. 1993, 14, 1019
Klopman, G.; J. Chem. Inf.
Comput. Sci. 1994, 34, 752.
Note that only the ACD/LogP
method provides calculated values with uncertainty limits.
Also note that nucleosides always exist in several tautomeric
forms and in most cases are ionized. Among all of the tested programs
only ACD/LogP automatically generates different
tautomeric forms and provides them with typical pKa
ranges.
TOP
Table 2:
- The following table compares the
results of correlations between the experimental and calculated
logP values for the different methods from the table
above:
|
Method
|
Intercept
|
Slope
|
No
of data points |
Correlation
Coefficient |
Standard
Deviation |
| ACD/LogP |
0.092±0.074
|
0.960±0.067
|
47
|
0.9050
|
0.311
|
| KLOGP |
-0.187±0.063
|
0.675±0.052
|
47
|
0.8853
|
0.340
|
| ALOGP |
-0.348±0.066
|
0.927±0.088
|
47
|
0.8415
|
0.395
|
| CLOGP |
-0.023±0.122
|
0.512±0.075
|
47
|
0.7105
|
0.515
|
| BLOGP |
-0.810±0.109
|
0.499±0.171
|
47
|
0.3987
|
0.671
|
Note that a good calculation method
must give not only a high correlation coefficient and a low
standard deviation, but also intercept close to zero and slope
close to unit.
TOP
Table 3:
- The following table compares
ACD/LogP to LOGK developed by Klopman et al. for the
selected compounds:
|
No |
Name |
LogPExp |
ACD/LogP
|
LOGPK
|
| 1 |
9-fluorenone
|
3.58 |
3.58±0.26 |
2.66 |
| 2 |
cyclohexylamine
|
1.49 |
1.40±0.19 |
0.44 |
| 3 |
Ado
|
-1.23 |
-1.26±0.46 |
-2.13 |
| 4 |
Guo
|
-1.89 |
-1.89±0.52 |
-3.09 |
| 5 |
dGuo
|
-1.30 |
-1.28±0.62 |
-2.26 |
| 6 |
dDAPR
|
-0.52 |
-0.55±0.58 |
-1.38 |
| 7 |
purine |
-0.37 |
-0.37±0.24 |
0.53 |
| 8 |
acetaldoxime
|
-0.12 |
-0.13±0.27 |
0.82 |
| 9 |
2,4,5-tribromoimidazole
|
1.96 |
2.00±0.49 |
2.79 |
| 10 |
thiazole
|
0.44 |
0.44±0.29 |
1.25 |
| 11 |
pyrazine
|
-0.22 |
-0.28±0.21 |
0.82 |
| 12 |
2,3,4,5,6-pentachloropyridine
|
3.53 |
3.61±0.36 |
4.47 |
| 13 |
pyridine
1-oxide |
-1.30 |
-1.69±0.25 |
-0.23 |
| 14 |
2-methylpyrazine
|
0.23 |
0.18±0.21 |
1.23 |
| 15 |
g-pyridylmethylamine
|
-0.38 |
-0.40±0.22 |
0.47 |
| 16 |
4,6-dimethylpyrimidine
|
0.62 |
0.59±0.18 |
1.64 |
| 17 |
m-aminobenzenesulfonamide
|
-1.20 |
-1.20±0.22 |
-0.10 |
| 18 |
trifluoromethoxyhenzene
|
3.17 |
3.17±0.59 |
2.28 |
| 19 |
phenyl-trifluoromethyl
sulfone |
2.68 |
2.71±0.69 |
1.86 |
| 20 |
o-phenylenethiourca
|
1.66 |
1.66±0.26 |
0.71 |
| 21 |
p-(fluorosulfonyl)toluene
|
2.74 |
2.74±0.28 |
1.40 |
| 22 |
2-(g-pyridyl)ethy1amine
|
-0.01 |
-0.03±0.20 |
0.88 |
| 23 |
p-trifluoroacetamide
bromobenzene |
3.34 |
3.42±0.66 |
2.51 |
| 24 |
p-(fluorosulfonyl)phenoxyacetic
acid |
1.84 |
1.82±0.39 |
0.90 |
| 25 |
p-aminophenylacetate
|
-0.16 |
-0.16±0.22 |
0.92 |
| 26 |
N-phenylglycine
|
0.62 |
0.62±0.24 |
-0.35 |
| 27 |
8-sulfonamidoquinoline
|
0.36 |
0.36±0.22 |
1.19 |
| 28 |
8-trifluoromethylquinoline
|
2.50 |
2.50±0.26 |
3.32 |
| 29 |
N-methyl-4-quinolone
|
0.44 |
0.44±0.26 |
1.28 |
| 30 |
p-hydroxybenzoic
acid butyl ester |
3.57 |
3.46±0.22 |
2.70 |
| 31 |
4,7-phenanthroline
|
2.05 |
2.05±0.22 |
2.85 |
| 32 |
carbazol
|
3.72 |
3.72±0.25 |
2.69 |
| 33 |
(4-isothiocyanophenyl)
phenyl sulfoxide |
4.40 |
4.40±0.37 |
3.53 |
| 34 |
1-(3,4-dichlorophenyl)-3-phenylurea
|
4.70 |
4.76±0.35 |
3.67 |
| 35 |
3,6-diaminoacridine
|
1.10 |
1.10±0.35 |
1.92 |
| 36 |
4,4'-diisothiocyanatebiphenyl
|
5.50 |
5.42±0.28 |
6.35 |
| 37 |
benzil |
3.38 |
3.38±0.30 |
2.37 |
| 38 |
N-(3-(trifluoromethyl)phenyl)anthranilic
acid |
5.62 |
5.62±0.48 |
4.69 |
| 39 |
4-cyclohexylphenoxyacetic
acid |
3.79 |
3.86±0.25 |
2.99 |
| 40 |
atenolol
|
0.16 |
0.10±0.25 |
1.04 |
| 41 |
bisphenol |
3.32 |
3.43±0.23 |
4.34 |
| 42 |
diazepam
|
2.66 |
2.96±0.46 |
3.59 |
| 43 |
labetalol
|
2.51 |
2.87±0.40 |
3.42 |
TOP
Table 4:
- In this table the experimental
data and results of calculations by KLOGP have been taken from
Klopman, G.; J. Chem. Inf. Comput. Sci. 1994,
34, 752. This reference lists 71 structures which have proven
difficult to calculate using the LOGK method. The following
table compares the results of correlations for all of these
structures:
|
Method
|
Intercept
|
Slope
|
No
of data points
|
Correlation
Coefficient |
Standard
Deviation |
| ACD/LogP |
0.104±0.053
|
0.927±0.019
|
71
|
0.9849
|
0.350
|
| KLOGP |
-0.038±0.150
|
0.898±0.054
|
71
|
0.8923
|
0.913
|
|