INT341836

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Context Info
Confidence 0.62
First Reported 2010
Last Reported 2010
Negated 0
Speculated 0
Reported most in Body
Documents 1
Total Number 7
Disease Relevance 0
Pain Relevance 0.18

This is a graph with borders and nodes. Maybe there is an Imagemap used so the nodes may be linking to some Pages.

nucleus (MAF)
MAF (Homo sapiens)
Pain Link Frequency Relevance Heat
Antihistamine 21 99.18 Very High Very High Very High
Morphine 28 97.94 Very High Very High Very High
nMDA receptor antagonist 7 70.96 Quite High
Serotonin 7 5.00 Very Low Very Low Very Low
tricyclic antidepressant 7 5.00 Very Low Very Low Very Low

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Sentences Mentioned In

Key: Protein Mutation Event Anatomy Negation Speculation Pain term Disease term
This approach allows the determination of the amount of variance (or redundancy) that the canonical components (factors) account for in their "own set" of variables, and in the "opposite set" of variables (e.g., how much the individual structural canonical factors explain of the total variance of the structural characteristics of the protein binding pockets and of the MAF profiles, respectively).
Gene_expression (profiles) of MAF
1) Confidence 0.62 Published 2010 Journal BMC Struct Biol Section Body Doc Link PMC2972294 Disease Relevance 0 Pain Relevance 0
From another perspective, our results suggest that the shapes of the binding sites could have an impact in virtual drug design for a few drug categories such as morphine derivatives, benzodiazepines, barbiturates and antihistamines, where they strongly correlate with the MAF profiles.
Gene_expression (profiles) of MAF associated with antihistamine and morphine
2) Confidence 0.62 Published 2010 Journal BMC Struct Biol Section Body Doc Link PMC2972294 Disease Relevance 0 Pain Relevance 0.18
Again, similar to the PCA analysis of the MAF profiles, such a distribution of salient loadings reflects a simple structure since the rotated factors contained only a small subset of the original variables.


Gene_expression (analysis) of MAF
3) Confidence 0.54 Published 2010 Journal BMC Struct Biol Section Body Doc Link PMC2972294 Disease Relevance 0 Pain Relevance 0
Again, similar to the PCA analysis of the MAF profiles, such a distribution of salient loadings reflects a simple structure since the rotated factors contained only a small subset of the original variables.


Gene_expression (profiles) of MAF
4) Confidence 0.54 Published 2010 Journal BMC Struct Biol Section Body Doc Link PMC2972294 Disease Relevance 0 Pain Relevance 0
Since both of our datasets (the MAF matrix and the geometrical descriptors) were expected to contain a certain amount of redundant information, PCA was performed on each of them for data reduction.
Gene_expression (matrix) of MAF
5) Confidence 0.54 Published 2010 Journal BMC Struct Biol Section Body Doc Link PMC2972294 Disease Relevance 0 Pain Relevance 0
Since the MAF profile reflects to the target specificity of ligand binding sites we can conclude that the shape of the binding site is not a key factor to select drug targets.
Gene_expression (profile) of MAF
6) Confidence 0.54 Published 2010 Journal BMC Struct Biol Section Body Doc Link PMC2972294 Disease Relevance 0 Pain Relevance 0
Construction of the MAF matrix
Gene_expression (matrix) of MAF
7) Confidence 0.54 Published 2010 Journal BMC Struct Biol Section Body Doc Link PMC2972294 Disease Relevance 0 Pain Relevance 0

General Comments

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