Q861Y4 AF NFT

Angiogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihoyqmnedhwzq66eb5gywgmiaxbjximfeqagkhjkk3zmh6nfx7siq/metadata.json
IPFS of structure file: 
bafybeidfhagjnpq7vfnv5tjpj5kgzuk52yrw6wyez3pxpi4y6cu7l2gvwi/AF-Q861Y4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #16255 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16255
Accession (UniProt):
Q861Y4
Name::
Angiogenin
Experimental Method:
Predicted structure
Sequence source:
Trachypithecus francoisi

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 Q861Y4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q861Y4|ANGI_TRAFR Angiogenin OS=Trachypithecus francoisi OX=54180 GN=ANG PE=3 SV=1 MVMGLGLFLLVFMLGLGLTPPTLAQDNSRYRDFLTKHYDATPQGRNDRYCESMMRRRGLTSPCKDINTFIHGNSRHIKAICGDENGNPYRENLRISKSPFQVTTCNLRGGSPWPPCRYRATAGFRNIVVACENDLPVHLDQSIFHP