Q8WN66 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid25fsbc77bsgfzisdf4cxa3uv7dh3fc2owtfjkr2foz5wfasa43q/metadata.json
IPFS of structure file: 
bafybeibw3qqmkjfri7ybyzb5te3z5l5mzs4wjoemu4n6lv52ojkjytvwza/AF-Q8WN66-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBb6f434FB4BD201f364930eace54164F9Da0c1ce
First NFT owner address (bech32): 
genesis1hdh5xna5h5sp7djfxr4vu4qkf7w6pswwextk88
Current NFT ID #16237 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16237
Accession (UniProt):
Q8WN66
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
CHLOROCEBUS AETHIOPS

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 Q8WN66 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8WN66|ANGI_CHLAE Angiogenin OS=Chlorocebus aethiops OX=9534 GN=ANG PE=3 SV=1 MVMGLGLFLLVFMLGLGLTPPTLAQDNSRYRDFLAKHYDATPQGRNDRYCESTMRRRHLTSPCKDINTFIHGNRHHIKAICGDENGNPYGENLRISKSPFQVTTCNLRGGSPRPPCQYRATRGSRNIVVGCENGLPVHLDESIFRP