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35 vs methyl

Mechanistic comparison of 35 dihydroxybenzoic acid and methyl p hydroxycinnamate based on molecular target overlap from BindingDB and ChEMBL binding affinity data.

6
Shared Targets
86%
Jaccard Similarity
81%
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

35 dihydroxybenzoic acid
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Evidence Score
0
PubMed Studies
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methyl p hydroxycinnamate
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Evidence Score
0
PubMed Studies
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Target Overlap

35 and methyl share 6 molecular targets based on binding affinity data from BindingDB (Kd/IC50 โ‰ค 10 ยตM) and ChEMBL. A Jaccard index of 0.857 means 86% of the combined target set is bound by both compounds. The IDF-weighted score of 0.812 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 35 and methyl have in common?
35 and methyl share 6 molecular targets with a Jaccard similarity of 86%. Both bind overlapping sets of proteins based on BindingDB and ChEMBL binding affinity data.
Can 35 and methyl be combined?
35 and methyl share 6 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: 35 or methyl?
In the BiohacksAI corpus: 35 has 0 PubMed-indexed studies, methyl has 0 studies.

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35 vs 126 targets35 vs gentisic6 targets35 vs methyl6 targets35 vs ethylparaben6 targets35 vs slc5 targets

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methyl vs methylparaben6 targetsmethyl vs 246 targetsmethyl vs 36 targetsmethyl vs ethyl6 targetsmethyl vs 126 targets
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