Q8WN62 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiffqqj63wdbchwfwz5xe5rawltcct4txazfghp2zna6jsp7n3ywqi/metadata.json
IPFS of structure file: 
bafybeihwnvvmneiztsjoy6lnmeujd4vvptys6eqr6wt7twz4vbbzakwj3m/AF-Q8WN62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1Fbc4334c6ACf0E9Cee9C8366EAB84F4575214B6
First NFT owner address (bech32): 
genesis1r77yxdxx4ncwnnhfeqmxa2uy73t4y99kcdqsmh
Current NFT ID #16253 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16253
Accession (UniProt):
Q8WN62
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
SAGUINUS OEDIPUS

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 Q8WN62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8WN62|ANGI_SAGOE Angiogenin OS=Saguinus oedipus OX=9490 GN=ANG PE=3 SV=1 MVMGLHLLFLVFILGLGLTPPTLAQNDLRYNRFLEEHYDPKTKNGNDRYCDKMMRLRNMISPCKAINTFIHGKKESIKAICGTENGVPYNGNKRKSKSAFQVTICKHRGGSPRPPCQYRATAGSRNVVVACENGLPVHLDESIFRP