Q91392 AF NFT

Retinoic acid receptor gamma-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicfowp7kbqvqcb7nsrszftxa33xukyysjjud2cxc7ssrslokxyqbi/metadata.json
IPFS of structure file: 
bafybeibchn2iou3dgm4pjdd4dxsjeybdtmufiew7r7pdb5cdteacp6isfe/AF-Q91392-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5f73CC96Faa6274C5e342558A18Dd99ed49F39A9
First NFT owner address (bech32): 
genesis1taeue9h65cn5ch35y4v2rrwenm2f7wdf0jjuj7
Current NFT ID #332717 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
332717
Accession (UniProt):
Q91392
Name::
Retinoic acid receptor gamma-A
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q91392 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q91392|RARGA_DANRE Retinoic acid receptor gamma-A OS=Danio rerio OX=7955 GN=rarga PE=1 SV=2 MFDCMEALGMGPRQLYDVTNRGACMLRKASPFYAGLDPFAWTGTASVRSVETQSTSSEEMVPSSPSPPPPPRVYKPCFVCQDKSSGYHYGVSSCEGCKGFFRRSIQKNMVYTCHRDKNCQINKVTRNRCQYCRLQKCFEVGMSKEAVRNDRNKKKKDVKDEVIPPESYELSGELEELVNKVSKAHQETFPSLCQLGKYTTNSSSDHRIQLDLGLWDKFSELSTKCIIKIVEFAKRLPGFTTLTIADQITLLKSACLDILMLRICTRYTPEQDTMTFSDGLTLNRTQMHNAGFGPLTDLVFAFAGQLLPLEMDDTETGLLSAICLICGDRMDLEEPERVDRLQEPLLEALKIYARRRRPNKPHMFPRMLMKITDLRGISTKGAERAITLKMEIPGPMPPLIREMLENPEAFEDQSESTEKKPEPEPPAPPPPALLTMKKEQEDEDDSWATENGSEPSPEEEDDDDEDGEEERGTDSDGEAWGGQEPNADVSRKSHGGRAQ