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at vs bms

Mechanistic comparison of at 7519 and bms 387032 based on molecular target overlap from BindingDB and ChEMBL binding affinity data.

38
Shared Targets
42%
Jaccard Similarity
42%
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

at 7519
โ€”
Evidence Score
0
PubMed Studies
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bms 387032
โ€”
Evidence Score
0
PubMed Studies
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Target Overlap

at and bms share 38 molecular targets based on binding affinity data from BindingDB (Kd/IC50 โ‰ค 10 ยตM) and ChEMBL. A Jaccard index of 0.422 means 42% of the combined target set is bound by both compounds. The IDF-weighted score of 0.419 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 at and bms have in common?
at and bms share 38 molecular targets with a Jaccard similarity of 42%. Both bind overlapping sets of proteins based on BindingDB and ChEMBL binding affinity data.
Can at and bms be combined?
at and bms share 38 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: at or bms?
In the BiohacksAI corpus: at has 0 PubMed-indexed studies, bms has 0 studies.

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