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at vs bms

Mechanistic comparison of at 7519 and bms 345541 based on molecular target overlap from BindingDB and ChEMBL binding affinity data.

10
Shared Targets
18%
Jaccard Similarity
18%
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
View full profile โ†’
bms 345541
โ€”
Evidence Score
โ€”
PubMed Studies
View full profile โ†’

Target Overlap

at and bms share 10 molecular targets based on binding affinity data from BindingDB (Kd/IC50 โ‰ค 10 ยตM) and ChEMBL. A Jaccard index of 0.175 means 18% of the combined target set is bound by both compounds. The IDF-weighted score of 0.178 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 10 molecular targets with a Jaccard similarity of 18%. Both bind overlapping sets of proteins based on BindingDB and ChEMBL binding affinity data.
Can at and bms be combined?
at and bms share 10 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?
Both at and bms have substantial PubMed research. View their individual profiles for full evidence scores.

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View full at profile โ†’View full bms profile โ†’Browse all substances โ†’