Q9IAC6 AF NFT

Mineralocorticoid receptor (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibejvfxjbdc5tm7zpiwvj535fx65i26yx322bhsvjm7bc6zwff3pi/metadata.json
IPFS of structure file: 
bafybeiav5imzgf7quxblqrzjgsaldjrqw3tvb5xieaekgv3motstd32qqm/AF-Q9IAC6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #226720 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
226720
Accession (UniProt):
Q9IAC6
Name::
Mineralocorticoid receptor (Fragment)
Experimental Method:
Predicted structure
Sequence source:
ONCORHYNCHUS MYKISS

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 Q9IAC6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9IAC6|MCR_ONCMY Mineralocorticoid receptor (Fragment) OS=Oncorhynchus mykiss OX=8022 GN=nr3c2 PE=2 SV=1 FKRAVEGQHNYLCAGRNDCIIDKIRRKNCPACRVRKCLQAGMNLGARKSKKPGKLKGVNEDSTPTKEGGQTCPGSGGGYLSSGEKELSTSPTNALVPHGPGGGLVTPYLPPSICSVLELIEPEVVFAGYDNTQPDTTDHLLSSLNQLAGKQMIRVVKWAKVLPGFRGLPIEDQITLIQYSWMCLSSFSLSWRSYKHTNGQMLYFAPDLVFNEDRMQQSAMYDLCLGMRQVSQEFVRLQLTYQEFLSMKVLLLLSTVPKEGLKNQAAFEEMRVNYIKELRRSVGKAPTTLDRRGNRSSQLTKLLDAMHDLGGELLDFCFYTFRESQALKVEFPEMLVEIISDQIPKVESGNTHTLYFHKK