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22r vs t091317

Mechanistic comparison of 22r hydroxycholesterol and t091317 based on molecular target overlap from BindingDB and ChEMBL binding affinity data.

3
Shared Targets
38%
Jaccard Similarity
34%
IDF-Weighted Similarity
Jaccard measures raw target overlap. IDF-weighted downweights promiscuous hub targets (e.g. CYP enzymes) that bind many compounds non-specifically.

Evidence Comparison

22r hydroxycholesterol
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Evidence Score
0
PubMed Studies
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t091317
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Evidence Score
0
PubMed Studies
View full profile โ†’

Target Overlap

22r and t091317 share 3 molecular targets based on binding affinity data from BindingDB (Kd/IC50 โ‰ค 10 ยตM) and ChEMBL. A Jaccard index of 0.375 means 38% of the combined target set is bound by both compounds. The IDF-weighted score of 0.345 accounts for non-specific binding to metabolic enzymes.

Note: High target overlap does not imply identical mechanism or therapeutic equivalence. Binding affinity, tissue distribution, bioavailability, and downstream signaling differ significantly between compounds even when they bind the same protein.

Frequently Asked Questions

What do 22r and t091317 have in common?
22r and t091317 share 3 molecular targets with a Jaccard similarity of 38%. Both bind overlapping sets of proteins based on BindingDB and ChEMBL binding affinity data.
Can 22r and t091317 be combined?
22r and t091317 share 3 molecular targets, suggesting potential pathway overlap. Combination use should be evaluated with a qualified healthcare professional. BiohacksAI does not provide medical advice.
Which has more research: 22r or t091317?
In the BiohacksAI corpus: 22r has 0 PubMed-indexed studies, t091317 has 0 studies.

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View full 22r profile โ†’View full t091317 profile โ†’Browse all substances โ†’