Q3TMQ6 AF NFT

Angiogenin-4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigaqrw25am5nrorydqghq5bmu7xugvlnng2q4fa2zzqon2f5s7joa/metadata.json
IPFS of structure file: 
bafybeifforgvfqifgjaltj2pdhrvuyn674stpgimrkrfi355vgqxr6akde/AF-Q3TMQ6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35612D34a32C306CA4fc1edA9360D1F717e25950
First NFT owner address (bech32): 
genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap
Current NFT ID #16226 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16226
Accession (UniProt):
Q3TMQ6
Name::
Angiogenin-4
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q3TMQ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3TMQ6|ANG4_MOUSE Angiogenin-4 OS=Mus musculus OX=10090 GN=Ang4 PE=1 SV=1 MTMSPCPLLLVFVLGLVVIPPTLAQNERYEKFLRQHYDAKPNGRDDRYCESMMKERKLTSPCKDVNTFIHGTKKNIRAICGKKGSPYGENFRISNSPFQITTCTHSGASPRPPCGYRAFKDFRYIVIACEDGWPVHFDESFISP