Q64438 AF NFT

Angiogenin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihv2aen425ifpd3l7ulsfcbfxrkrjrklhkfzf6gkc6qsjd44dxtaq/metadata.json
IPFS of structure file: 
bafybeife4i56rybdyd75ylrqronb45oejuanwsr5f2kurhfzr3ic7x2yce/AF-Q64438-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x12036AF92D04543C69d73C1E0B95D813ddc5bfa1
First NFT owner address (bech32): 
genesis1zgpk47fdq32rc6wh8s0qh9wcz0wut0apw0883d
Current NFT ID #16224 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16224
Accession (UniProt):
Q64438
Name::
Angiogenin-2
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 Q64438 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64438|ANG2_MOUSE Angiogenin-2 OS=Mus musculus OX=10090 GN=Ang2 PE=1 SV=2 MAMSPGPLFLVFLLGLVVIPPTLSQDDSRYTKFLTQHYDAKPKGRDDRYCESMMVKRKLTSFCKDVNTFIHDTKNNIKAICGKKGSPYGRNLRISKSHFQVTTCTHKGRSPRPPCRYRASKGFRYIIIGCENGWPVHFDESFISP