Hammilton
Bluelighter
- Joined
- Sep 2, 2008
- Messages
- 3,435
http://195.178.207.233/PASS/predict.php
I'm wondering if someone could help explain how this works. I entered N,N-diethyl-3-phenylcyclohexanamine, a structure I drew looking for non-analogue's that'd fit with with cocaine / dimethocaine's pharmacophore (focusing on the phenyl and amine placement). When I noticed that I finally got my username and password to use PASS while cleaning out 37 pages of emails (that with netscape required clicking on every single one!) I thought to plug it in. I've posted the top results below (in order from most likely to least likely, but none getting below 50% and though I cut it off pretty early because everything I was interested in was already included.
Now, what I'm trying to understand is this: how exactly does it reach these conclusions? I mean, I concluded this already, but I compared it in 3D to known DAT ligands. The site has an explanation of the math but I don't really understand it. I assume that to conclude this it'd have to calculate configuration in a 3D array and then compare that to arrays available for a variety of ligands. It must also compare in 2D as well, right? That's why it'd suggest that it was a sigma agonist, I would think.
These were the top results:
Just for reference, these are the results cocaine itself gives:
I love that cocaine dependency treatment and just dependence treatment (the latter being the top result!) are listed.
I'm wondering if someone could help explain how this works. I entered N,N-diethyl-3-phenylcyclohexanamine, a structure I drew looking for non-analogue's that'd fit with with cocaine / dimethocaine's pharmacophore (focusing on the phenyl and amine placement). When I noticed that I finally got my username and password to use PASS while cleaning out 37 pages of emails (that with netscape required clicking on every single one!) I thought to plug it in. I've posted the top results below (in order from most likely to least likely, but none getting below 50% and though I cut it off pretty early because everything I was interested in was already included.
Now, what I'm trying to understand is this: how exactly does it reach these conclusions? I mean, I concluded this already, but I compared it in 3D to known DAT ligands. The site has an explanation of the math but I don't really understand it. I assume that to conclude this it'd have to calculate configuration in a 3D array and then compare that to arrays available for a variety of ligands. It must also compare in 2D as well, right? That's why it'd suggest that it was a sigma agonist, I would think.
These were the top results:
27 Substructure descriptors; 0 new.
41 Possible activities at Pa > 50%
Pa Pi for Activity:
0,889 0,007 Psychosexual dysfunction treatment
0,876 0,007 Cardiovascular analeptic
0,814 0,016 CC chemokine 2 receptor antagonist
0,778 0,007 Antiparkinsonian
0,811 0,064 Fibrinogen receptor antagonist
0,759 0,027 Dopamine D4 agonist
0,714 0,006 Peptidoglycan glycosyltransferase inhibitor
0,691 0,005 Dopamine agonist
0,694 0,014 Antidepressant
0,712 0,061 Cardioprotectant
0,681 0,040 Antineurotic
0,704 0,068 Urologic disorders treatment
0,636 0,004 Melatonin 1 antagonist
0,643 0,025 Membrane permeability inhibitor
0,623 0,034 Neurotransmitter uptake inhibitor
0,640 0,051 Antineurotoxic
0,603 0,028 Psychotropic
0,600 0,038 Tocolytic
0,603 0,058 Torsades de pointes
0,564 0,020 Prostaglandin H2 antagonist
0,561 0,018 Prostaglandin E1 antagonist
0,572 0,042 Dependence treatment
0,532 0,007 5 Hydroxytryptamine 1A agonist
0,622 0,100 2-Haloacid dehalogenase (configuration-inverting) inhibitor
0,596 0,078 CYP2D16 substrate
0,597 0,081 Arrhythmogenic
0,510 0,008 5 Hydroxytryptamine agonist
0,527 0,025 Cyclic AMP agonist
0,528 0,032 Vasodilator, renal
0,540 0,047 Calmodulin antagonist
0,508 0,019 Analeptic
0,538 0,058 Antidiarrheal
0,507 0,032 Anxiolytic
0,502 0,032 Corticotropin releasing factor antagonist
0,503 0,033 Sigma receptor agonist
It also provides an "effects" probability which I don't entirely understand, but these are listed:
EFFECTS
0,644 0,025 Antitoxic
0,640 0,051 Antineurotoxic
0,644 0,025 Hepatoprotectant
0,644 0,025 Membrane permeability inhibitor
0,544 0,008 Anorexiant
0,544 0,008 5 Hydroxytryptamine agonist
0,942 0,005 Cardiotonic
0,527 0,025 Antiarrhythmic
0,527 0,025 Cyclic AMP agonist
0,942 0,005 Dopamine agonist
0,527 0,025 Cyclic AMP agonist
0,644 0,025 Antiinflammatory
0,644 0,025 Membrane permeability inhibitor
0,527 0,025 Antineoplastic
0,527 0,025 Cyclic AMP agonist
0,603 0,058 Arrhythmogenic
0,603 0,058 Torsades de pointes
0,644 0,025 Neuroprotector
0,644 0,025 Membrane permeability inhibitor
0,561 0,136 Nerve growth factor agonist
0,547 0,047 Calmodulin antagonist
0,942 0,005 Antiparkinsonian
0,942 0,005 Dopamine agonist
0,623 0,034 Neurotransmitter uptake inhibitor
0,561 0,136 Nerve growth factor agonist
0,942 0,005 Psychostimulant
0,942 0,005 Dopamine agonist
Just for reference, these are the results cocaine itself gives:
37 Substructure descriptors; 0 new.
27 Possible activities at Pa > 50%
Pa Pi for Activity:
0,911 0,004 Dependence treatment
0,906 0,007 QT interval prolongation
0,901 0,007 Convulsant
0,887 0,007 Cardiotoxic
0,876 0,006 CYP2A substrate
0,858 0,003 CYP2A5 substrate
0,827 0,006 Anesthetic
0,821 0,006 Anesthetic local
0,781 0,014 Psychosexual dysfunction treatment
0,785 0,037 Beta-adrenergic-receptor kinase inhibitor
0,729 0,004 Mydriatic
0,715 0,003 Cocain dependency treatment
0,696 0,008 Antiparkinsonian
0,654 0,020 CYP3A substrate
0,618 0,018 Spasmolytic
0,601 0,007 Narcotic
0,611 0,018 Antisecretoric
0,590 0,001 Dopamine transporter antagonist
0,587 0,005 Dopamine uptake inhibitor
0,554 0,008 5 Hydroxytryptamine antagonist
0,545 0,010 Cholinergic antagonist
0,544 0,015 CYP2B substrate
0,517 0,006 Hypertensive, ophthalmic
0,513 0,007 CYP2B2 substrate
0,529 0,035 CYP3A4 substrate
0,506 0,014 Acetylcholine antagonist
0,518 0,042 Analgesic
I love that cocaine dependency treatment and just dependence treatment (the latter being the top result!) are listed.
