General Information of the Drug (ID: M6APDG00078)
Name
RXP-470
Synonyms
MMP-12 inhibitors (atherosclerosis); MMP-12 inhibitors (atherosclerosis), CEA; RXP-470 derivatives (atherosclerosis), CEA
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Status
Investigative
Structure
3D MOL
Formula
C35H35BrClN4O10P
InChI
1S/C35H35BrClN4O10P/c36-24-8-10-27(11-9-24)52(49,50)19-23(33(45)39-28(13-15-32(43)44)34(46)40-29(35(47)48)12-14-31(38)42)17-26-18-30(41-51-26)21-6-4-20(5-7-21)22-2-1-3-25(37)16-22/h1-11,16,18,23,28-29H,12-15,17,19H2,(H2,38,42)(H,39,45)(H,40,46)(H,43,44)(H,47,48)(H,49,50)/t23-,28+,29+/m1/s1
InChIKey
SCLRICMZGZSWFY-MGONOCMRSA-N
PubChem CID
102258832
TTD Drug ID
D03QXD
Target Gene(s) and Their Upstream m6A Regulator, Together with the Effect of Target Gene(s) in Drug Response
The target genes involved in drug-target interaction (such as drug-metabolizing enzymes, drug transporters and therapeutic targets) and drug-mediated cell death signaling (including modulating DNA damage and repair capacity, escaping from drug-induced apoptosis, autophagy, cellular metabolic reprogramming, oncogenic bypass signaling, cell microenvironment, cell stemness, etc.) could be regulated by m6A regulator(s) and affected their corresponding drug response. You can browse detailed information on drug-related target gene(s) mediated by m6A regulators.
Matrix metalloproteinase-12 (MMP-12)
Methyltransferase-like 3 (METTL3)
In total 1 mechanisms lead to this potential drug response
Response Summary Matrix metalloproteinase-12 (MMP-12) is a therapeutic target for RXP-470. The Methyltransferase-like 3 (METTL3) has potential in affecting the response of RXP-470 through regulating the expression of Matrix metalloproteinase-12 (MMP-12). [1], [2]
References
Ref 1 The aberrant cross-talk of epithelium-macrophages via METTL3-regulated extracellular vesicle miR-93 in smoking-induced emphysema. Cell Biol Toxicol. 2022 Feb;38(1):167-183. doi: 10.1007/s10565-021-09585-1. Epub 2021 Mar 4.
Ref 2 URL: http://www.guidetopharmacology.org Nucleic Acids Res. 2015 Oct 12. pii: gkv1037. The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands. (Target id: 1636).