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. Author manuscript; available in PMC: 2014 Oct 1.
Published in final edited form as: Toxicol Appl Pharmacol. 2013 May 23;272(1):67–76. doi: 10.1016/j.taap.2013.04.032

Table 3.

Examples of structural modifications that are expected to reduce ER binding affinity (based on the analysis of significant descriptors in QSAR models).

ERβ Binder Structural features Modified Chemicals Predicted ERβ binding affinity by MTL models Experimental ERβ binding affinity
Descriptor Suggested modification
graphic file with name nihms484587t1.jpg
logRBAERβ=0.64
ARR=0.79
B01[NO]=0
B09[OC]=1
nArOH=0.2
ARR (negatively correlated with binding affinity) Increase aromatic ratio by removing alkyl chain graphic file with name nihms484587t2.jpg
ARR=0.89; % Dscr
profile changed=92
−0.44 −0.68
B01[NO] (negatively correlated with binding affinity) Add N-O motif graphic file with name nihms484587t3.jpg
B01[NO]=1; %Dscr
profile changed=85
−0.42 N/A
B09[OC] (positively correlated with binding affinity) Remove O-C at topological distance 9 graphic file with name nihms484587t4.jpg
B09[OC]=0; %Dscr
profile changed=60
−0.15 N/A
Modifications Not Suggested graphic file with name nihms484587t5.jpg
nArOH=0.6; %Dscr
profile changed=16
1.17 N/A
nArOH (positively correlated with binding affinity) Add OH groups attached to aromatic ring

% Dscr profile changed indicates the percentage of descriptors changed in the favorable direction due to the structural modifications. In order to decrease a compound binding affinity, the values should be decreased (increased) for descriptors that positively (negatively) correlate with ER binding affinity. The values of “%Dscr profile changed” were calculated as (number of positively correlated descriptors whose values decreased + number of negatively correlated descriptors whose values increased)/(total number of descriptors).

N/A, not available.