Q8WN65 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigom4qrzwmq4limjikjkpk7zrlotrh3vwrb2p57ysrkha3psepqzq/metadata.json
IPFS of structure file: 
bafybeicqvywg5y2n6lxbs4p2frou3tiregnzvq2dyfiaoy7ocm26wg2dlq/AF-Q8WN65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x02Ec5621A2d2D4f60b03875D3630DEF810B088E5
First NFT owner address (bech32): 
genesis1qtk9vgdz6t20vzcrsawnvvx7lqgtpz899q68yh
Current NFT ID #16243 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16243
Accession (UniProt):
Q8WN65
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
Miopithecus talapoin

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 Q8WN65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8WN65|ANGI_MIOTA Angiogenin OS=Miopithecus talapoin OX=36231 GN=ANG PE=3 SV=1 MVMGLGLFLLVFMLGLGLTSPTLAQDNSRYRDFLSKHYDARPQGRNDRYCDSMMRRQGMTSPCKDINTFIHGNRRSIRAICGDENGNPYGENLRISRTPFQVTTCNLRGGSPRPPCRYRATAGFRNIVVACENGLPVHLDQSIFRP