Q71MJ0 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieom4htkpestwtvafsrtxhyscicwcx6pqacykrpsqjtwrgt47umti/metadata.json
IPFS of structure file: 
bafybeihbxbrcjfwr2fx3b6wqkxj7xxpjmshpjkwh7fx524zmlul746smoq/AF-Q71MJ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5d82922Caf49DF7584AF49cE74BFBCE565a80Ac4
First NFT owner address (bech32): 
genesis1tkpfyt90f80htp90f888f0auu4j6szkyjzqp06
Current NFT ID #16239 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16239
Accession (UniProt):
Q71MJ0
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
Gorilla gorilla gorilla

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 Q71MJ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q71MJ0|ANGI_GORGO Angiogenin OS=Gorilla gorilla gorilla OX=9595 GN=ANG PE=3 SV=1 MVMGLGVLLLVFVLGLGLTPPTLAQDNSRYTHFLTQHYDAKPQGRDDRYCESIMRRRGLTSPCKDINTFIHGNKRSIKAICENKNGNPHRENLRISKSSFQVTTCKLHGGSPWPPCQYRATAGFRNVVVACENGLPVHLDQSIFRRP