Q8WN67 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig4dizwk3vachspqwkmielahuvs7xum2jgwism23rkfai7himnily/metadata.json
IPFS of structure file: 
bafybeib3t6in6nhfbcw2frl2j7sz5gdjnxdy6bk2hukyclva7hnun6nluu/AF-Q8WN67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x373207Fe3421B2805A883DB60Ad7660263f6d3ea
First NFT owner address (bech32): 
genesis1xueq0l35yxegqk5g8kmq44mxqf3ld5l259v7le
Current NFT ID #16248 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16248
Accession (UniProt):
Q8WN67
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
Pongo pygmaeus

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 Q8WN67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8WN67|ANGI_PONPY Angiogenin OS=Pongo pygmaeus OX=9600 GN=ANG PE=3 SV=1 MVMGLGVLLLVFMLGLGLTPPTLAQDNSRYTDFLAQHYDPKPQGRDDRYCESIMRRRGLTSPCKGINTFIHGSKRSIKAICENKNGNPHRENLRISKSSFQVTTCKLHGGSPWPPCHYRATADFRNIVVACENGLPVHLDQSIFRRL