Q95KZ0 AF NFT

Prostaglandin E2 receptor EP4 subtype

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6a75b2pqwezfltn52q4grh3s4qutoj2htmkkos6q23ipdlesnje/metadata.json
IPFS of structure file: 
bafybeiec5fthw34ijr2g4zqdwz5wbysdvvz6dpvvd6yocjxh2fumzou3we/AF-Q95KZ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD46DA32B7720c71602C83cB010B3A9c4840f5D93
First NFT owner address (bech32): 
genesis163k6x2mhyrr3vqkg8jcppvafcjzq7hvn64lp0n
Current NFT ID #292915 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
292915
Accession (UniProt):
Q95KZ0
Name::
Prostaglandin E2 receptor EP4 subtype
Experimental Method:
Predicted structure
Sequence source:
PAN TROGLODYTES

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q95KZ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95KZ0|PE2R4_PANTR Prostaglandin E2 receptor EP4 subtype OS=Pan troglodytes OX=9598 GN=PTGER4 PE=2 SV=1 MSTPGVNASASLSPDRLNSPVTIPAVMFIFGVVGNLVAIVVLCKSRKEQKETTFYTLVCGLAVTDLLGTLLVSPVTIATYMKGQWPGGQPLCEYSTFILLFFSLSGLSIICAMSVERYLAINHAYFYSHYVDKRLAGLTLFAVYASNVLFCALPNMGLGSSRLQYPDTWCFIDWTTNVTAHAAYSYMYAGFSSFLILATVLCNVLVCGALLRMHRQFMRRTSLGTEQHHAAAAAVTSVASRGHPAASPALPRLSDFRRRRSFRRIAGAEIQMVILLIATSLVVLICSIPLVVRVFVNQLYQPSLEREVSKNPDLQAIRIASVNPILDPWIYILLRKTVLSKAIEKIKCLFCRIGGSRRERSGQHCSDSQRTSSAMSGHSRSFISRELKEISSTSQTLLPDLSLPDLSENGLGGRNLLPGVPGMGLAQEDTTSLRTLRISETSDSSQGQDSESVLLVDEAGGSGRAGPAPKGSSLQVTFPSETLNLSEKCI