The role of chemoinformatics in the design of a comprehensive drug ...
The role of chemoinformatics in the design of a comprehensive drug ...
The role of chemoinformatics in the design of a comprehensive drug ...
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Chemist Triage Score and Naïve Bayesian Models<br />
‣ Yes/No decision from five <strong>in</strong>dividual triag<strong>in</strong>g exercises taken to build one<br />
Bayesian models<br />
‣ All five models are used <strong>in</strong> a consensus score, fraction <strong>of</strong> models vot<strong>in</strong>g<br />
aga<strong>in</strong>st <strong>the</strong> molecules<br />
Chemist Triage Score<br />
100%<br />
90%<br />
16%<br />
Histogram <strong>of</strong> NB Score<br />
Screen<strong>in</strong>g Collection<br />
Less attractive cpds.<br />
Fraction <strong>of</strong> compounds<br />
80%<br />
70%<br />
60%<br />
50%<br />
40%<br />
30%<br />
20%<br />
10%<br />
0%<br />
MCS SLIA ICLF PSEB MCS<br />
external<br />
2003<br />
MCS<br />
external<br />
2004<br />
Drugs NAPR HTS Hits<br />
2004<br />
Random<br />
Chemist<br />
Triage<br />
Score<br />
Serie<br />
1<br />
s6<br />
Serie<br />
0.8<br />
s5<br />
Serie<br />
0.6<br />
s4<br />
Serie<br />
0.4<br />
s3<br />
Serie<br />
0.2<br />
s2<br />
Serie<br />
0<br />
s1<br />
% <strong>of</strong> samples<br />
14% Primary Hit-list<br />
12%<br />
Tra<strong>in</strong><strong>in</strong>g Set<br />
10%<br />
8%<br />
6%<br />
4%<br />
2%<br />
0%<br />
-100 -80 -60 -40 -20 0 20 40 60 80 100<br />
| Obernai| 20.06.10 | Edgar Jacoby