Q8WN64 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaoe7fpgpdixpzh7n53xwxc7mzkvib22h4j25cq5kon6slalmxh44/metadata.json
IPFS of structure file: 
bafybeia2ysaxgpwqwgz62tl4nv4jdnaud25gwwcwfk5turnq72fs6a2wha/AF-Q8WN64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152
First NFT owner address (bech32): 
genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn
Current NFT ID #16246 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16246
Accession (UniProt):
Q8WN64
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
Papio hamadryas

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 Q8WN64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8WN64|ANGI_PAPHA Angiogenin OS=Papio hamadryas OX=9557 GN=ANG PE=3 SV=1 MVMGLGLFLLVFMLGLGLTLPTLAQDNFRYRDFLAKHYDGTPEGRNDRYCESTMRRRHLTSPCKDTNTFIHGNRHHINAICGDENGNPYGGNLRISKSPFQVTTCKLHGGSPRPPCRYRATRGSRNIVVGCENGLPVHLDESIFRP