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Center for Interdisciplinary Research
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Main /
Interactions of Chemicals--Research at Boston University School of Public Health
Main.Interactions HistoryHide minor edits - Show changes to markup June 16, 2010, at 02:55 PM
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Harry Potter and chemical interaction
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Harry Potter and chemical interaction
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Harry Potter and synergy to:
Harry Potter and chemical interaction July 26, 2007, at 08:54 AM
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will be equal to more than the sum of the antidotes for each of the separate components."--Book VI, pg. 374 [thanks to Greg Howard for pointing this out] to:
July 26, 2007, at 08:54 AM
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Harry Potter and synergy
will be equal to more than the sum of the antidotes for each of the separate components."--Book VI, pg. 374 [thanks to Greg Howard for pointing this out] July 19, 2007, at 07:02 PM
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News
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News
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Greg Howard wins best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. to:
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News: Greg Howard wins best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. to:
News Greg Howard wins best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. July 07, 2007, at 12:00 PM
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News: Greg Howard wins best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. to:
News: Greg Howard wins best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. June 21, 2007, at 03:51 PM
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News: Greg Howard awarded best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. to:
News: Greg Howard wins best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. June 21, 2007, at 03:51 PM
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News: Greg Howard awarded best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. to:
News: Greg Howard awarded best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. June 21, 2007, at 03:50 PM
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News: Greg Howard awarded best poster award at 2007 Society for Epidemiologic Research Conference. See Howard G, Webster T. Contrasting Theories of Additivity, Synergy, and Antagonism in Epidemiology and Toxicology. June 21, 2007, at 03:47 PM
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Presentations
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January 02, 2007, at 10:28 PM
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Let's examine these ideas mathematically. We'll define fa[A] = dose response curve for A
fb[B] = dose response curve for B
fab[A,B] = dose response curve for the combination of A and B
Three definitions of additivity are typically used: independent action: fab[A,B] = fa[A] + fb[B] + fa[A] fb[B] concentration addition: A/Ei,a + B/Ei,b where Ei,a and Ei,b are, respectively, the concentrations of A and B that individually lead to effect level i. to:
January 02, 2007, at 10:26 PM
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and Ei,b are, respectively, the concentrations of A and B that individually lead to effect leveli. to:
and Ei,b are, respectively, the concentrations of A and B that individually lead to effect level i. January 02, 2007, at 10:26 PM
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and Ei,b are, respectively, the concentrations of A and B that individually lead to effect level i. to:
and Ei,b are, respectively, the concentrations of A and B that individually lead to effect leveli. January 02, 2007, at 10:25 PM
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and Ei,b are, respectively, the concentrations of A and B that individually lead to effect level i to:
and Ei,b are, respectively, the concentrations of A and B that individually lead to effect level i. January 02, 2007, at 10:24 PM
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and Ei,b are, respectively, the concentrations of A and B that lead individually lead to effect level i to:
and Ei,b are, respectively, the concentrations of A and B that individually lead to effect level i January 02, 2007, at 10:23 PM
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where E_i,a_' and E_i,b_' to:
where Ei,a and Ei,b are, respectively, the concentrations of A and B that lead individually lead to effect level i January 02, 2007, at 10:22 PM
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where Ei,a and Ei,b to:
where E_i,a_' and E_i,b_' January 02, 2007, at 10:22 PM
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and 'E''i,b to:
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where Ei,a and 'E''i,b January 02, 2007, at 10:21 PM
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where ''E_i,a_' and 'E_i,b_' January 02, 2007, at 10:20 PM
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+ B/Ei,b January 02, 2007, at 10:20 PM
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"concentration addition: A/E''i,a to:
concentration addition: A/Ei,a January 02, 2007, at 10:19 PM
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"concentration addition: 'A/E'i,a to:
"concentration addition: A/E''i,a January 02, 2007, at 10:19 PM
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"concentration addition: 'A/E'i,a January 02, 2007, at 10:17 PM
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fb[B] January 02, 2007, at 10:17 PM
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'fb[B''] January 02, 2007, at 10:16 PM
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fa[A] January 02, 2007, at 10:16 PM
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independent action: fab[A,B] = fa[A] + fb[B] - fa[A]
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effect summation: f_ab_'[A,B] = f_a_'[A] to:
effect summation: fab[A,B] = fa[A] January 02, 2007, at 10:14 PM
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Three definitions of additivity are typically used:
= fa[A] to:
Three definitions of additivity are typically used: January 02, 2007, at 10:14 PM
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Three definitions of additivity are typically used: January 02, 2007, at 10:13 PM
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effect summation: fab[A,B] to:
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effect summation: fab[A,B] to:
effect summation: fab[A,B] January 02, 2007, at 10:13 PM
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effect summation: fab[A,B] to:
effect summation: fab[A,B] January 02, 2007, at 10:12 PM
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Three definitions of additivity are typically used: to:
Three definitions of additivity are typically used:\\ January 02, 2007, at 10:12 PM
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effect summation: fab[A,B] to:
effect summation: fab[A,B] January 02, 2007, at 10:12 PM
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effect summation: fab[A,B] to:
effect summation: fab[A,B] January 02, 2007, at 10:10 PM
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effect summation: fab[A,B] \ to:
effect summation: fab[A,B] January 02, 2007, at 10:09 PM
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effect summation: fab[A,B] to:
effect summation: fab[A,B] \ January 02, 2007, at 10:09 PM
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effect summation: fab[A,B]
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effect summation: fab[A,B] January 02, 2007, at 10:09 PM
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effect summation: fab[A,B] to:
effect summation: fab[A,B]
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Let's examine this idea mathematically. We'll define to:
Let's examine these ideas mathematically. We'll define Changed lines 16-17 from:
Then effect summation means: to:
Three definitions of additivity are typically used: effect summation: January 02, 2007, at 10:07 PM
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fa[A] to:
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fab[A,B]
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fab[A,B] January 02, 2007, at 10:05 PM
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f_a_'[A] + f_b_'[B] to:
fa[A] + fb[B] January 02, 2007, at 10:05 PM
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f_a_'[A] + f_b_'[B] January 02, 2007, at 10:05 PM
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= f_a_'[A] + f_b_'[B] to:
fa[A] fb[B] January 02, 2007, at 10:04 PM
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f'b[B] = dose response curve for B
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fb[B] = dose response curve for B
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f_ab_'[A,B] = f_a_'[A] + fb[B]
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fab[A,B]
= f_a_'[A] + f_b_'[B] January 02, 2007, at 10:04 PM
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fab_[A,B] = f'_a_[A] + f'_b[B]
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f_ab_'[A,B] = f_a_'[A] + fb[B]
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Let's examine this idea mathematically. We'll define fa[A] = dose response curve for A
f'b[B] = dose response curve for B
fab[A,B] = dose response curve for the combination of A and B
Then effect summation means fab_[A,B] = f'_a_[A] + f'_b[B]
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Intrigued? to:
January 01, 2007, at 10:40 PM
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Let's examine this idea mathematically. We'll define fA[A] = dose response curve for A
fB[B] = dose response curve for B
fAB[A,B] = dose response curve for the combination of A and B
Then effect summation means fAB[A,B]
=fA[A] + fB[B] January 01, 2007, at 10:39 PM
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fAB[A,B]\
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fAB[A,B]
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fAB[A,B]
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fAB[A,B]\
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fAB[A,B] =
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f'_AB_[A,B] = f'_A_[A]
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fAB[A,B] =
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f'_AB_[A,B] = f'_A_[A]
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fa[A] + fb[B] January 01, 2007, at 10:36 PM
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f'_AB_[A,B] = f'_a_
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fAB[A,B] =
fa January 01, 2007, at 10:35 PM
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f'_AB_ [A,B] = f'_a_
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f'_AB_[A,B] = f'_a_
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f'_AB_[A,B] = f'_a_
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f'_AB_ [A,B] = f'_a_
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fAB[A,B]
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f'_AB_[A,B] = f'_a_
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fAB[A,B]
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fAB_[A,B] = f'_a_[A] + f'_b[B]
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[A,B] = f'_a_[A] + f'_b_[B] January 01, 2007, at 10:31 PM
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Then effect summation means to:
Then effect summation means January 01, 2007, at 10:30 PM
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fa[A] = dose response curve for A
fb[B] = dose response curve for B
fab[A,B] = dose response curve for the combination of A and B
to:
fA[A] = dose response curve for A
fB[B] = dose response curve for B
fAB[A,B] = dose response curve for the combination of A and B
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fab_[A,B] = f'_a_[A] + f'_b[B]
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fAB_[A,B] = f'_a_[A] + f'_b[B]
January 01, 2007, at 10:29 PM
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Let's examine this idea mathematically. We'll define fa[A] = dose response curve for A
fb[B] = dose response curve for B
fab[A,B] = dose response curve for the combination of A and B
Then effect summation means fab_[A,B] = f'_a_[A] + f'_b[B]
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December 30, 2006, at 10:18 PM
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Intrigued? Read more! to:
Intrigued? December 30, 2006, at 10:18 PM
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Suppose that the above graph shows the result of experiments using 10 uM of compound A, 10 uM of compound B, and a mixture of 10 uM of A and 10 uM of B. What does this experiment demonstrate? to:
Suppose that the above graph shows the result of experiments using 10 uM of compound B, 10 uM of compound A, and a mixture of 10 uM of A and 10 uM of B. What does this experiment demonstrate? December 30, 2006, at 10:12 PM
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Intrigued? Read more! December 30, 2006, at 09:35 PM
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December 30, 2006, at 08:52 PM
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Suppose you answer: "synergy, since the combination of A and B is greater than the individual results summed." Mathematically: fAB(A,B) to:
December 30, 2006, at 08:49 PM
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The "obvious" answer is "synergy, since the combination of A and B is greater than the individual results summed." Mathematically: to:
Interact Answer}Answer? Suppose you answer: "synergy, since the combination of A and B is greater than the individual results summed." Mathematically: December 30, 2006, at 08:42 PM
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The "obvious" answer is "synergy, since the combination of A and B is greater than the individual results summed" to:
The "obvious" answer is "synergy, since the combination of A and B is greater than the individual results summed." Mathematically: fAB(A,B) December 30, 2006, at 08:28 PM
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The "obvious" answer is "synergy, since the combination of A and B is greater than their individuals results summed" to:
The "obvious" answer is "synergy, since the combination of A and B is greater than the individual results summed" December 30, 2006, at 08:27 PM
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If you answered "synergy (obviously)" you might be in the majority but you'd be wrong. to:
The "obvious" answer is "synergy, since the combination of A and B is greater than their individuals results summed" December 30, 2006, at 06:12 PM
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If you answered "obviously, synergy" you might be in the majority but you'd be wrong. to:
If you answered "synergy (obviously)" you might be in the majority but you'd be wrong. December 30, 2006, at 03:53 PM
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If you answered "obviously, synergy" you might be in the majority but you'd be wrong. December 30, 2006, at 03:48 PM
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Suppose that the above graph shows the result of using 10 uM of compound A, 10 uM of compound B, and a mixture of 10 uM of A and 10 uM of B. What does this experiment demonstrate?
to:
Suppose that the above graph shows the result of experiments using 10 uM of compound A, 10 uM of compound B, and a mixture of 10 uM of A and 10 uM of B. What does this experiment demonstrate?
December 30, 2006, at 03:46 PM
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Suppose that the above graph shows the result of using 10 ?M of compound A, 10 ?M of compound B, and a mixture of 10 ?M of A and 10 ?M of B. What does this experiment demonstrate? to:
Suppose that the above graph shows the result of using 10 uM of compound A, 10 uM of compound B, and a mixture of 10 uM of A and 10 uM of B. What does this experiment demonstrate? December 30, 2006, at 03:46 PM
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My research: December 30, 2006, at 03:45 PM
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Attach: interact-figure.jpg December 30, 2006, at 03:43 PM
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Suppose t to:
Attach interact-figure.jpg Suppose that the above graph shows the result of using 10 ?M of compound A, 10 ?M of compound B, and a mixture of 10 ?M of A and 10 ?M of B. What does this experiment demonstrate?
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return to Tom Webster to:
return to Tom Webster December 30, 2006, at 03:01 PM
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Publications
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return to Tom Webster |