Q861Y2 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzjvooy6e22upu3umxefprqqspkhlux7pqgprsncpwrf5hfi4fqe/metadata.json
IPFS of structure file: 
bafybeifzic4mzxasowcovzb5k5wp76pf5acx6rituwofogt3dj2k76ybfi/AF-Q861Y2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8B10B7F23aD21e6842b6b5fA63B40151F48160F5
First NFT owner address (bech32): 
genesis13vgt0u366g0xss4kkhax8dqp286gzc8497er7f
Current NFT ID #16251 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
16251
Accession (UniProt):
Q861Y2
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
Rhinopithecus bieti

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 Q861Y2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q861Y2|ANGI_RHIBE Angiogenin OS=Rhinopithecus bieti OX=61621 GN=ANG PE=3 SV=1 MVMGLGLFLLVFMLGLGLTPPTLAQDNSRYRDFLTKHYDATPQGRNDRYCESMMRRRGLTSPCKDINTFIHGNSRHIKAICGDENGNPYGENLRISKSPFQVTTCNLRGGSSRPPCRYRATAGFRNIVVACENDLPVHLDQSIFRP