Q6PFJ1 AF NFT

Neuroguidin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeievdqmgaqnxnx3nreqpwllzurf2se2rzjosblrmlhretppxjikoja/metadata.json
IPFS of structure file: 
bafybeifgy4shxytnbedpjucrusolq2pxvfx6idy75knhh5bjrcusbt2fvy/AF-Q6PFJ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x848A4641291fcA75a40377EE7D18AD327aA697A7
First NFT owner address (bech32): 
genesis1sj9yvsffrl98tfqrwlh86x9dxfa2d9a84mxrye
Current NFT ID #263996 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
263996
Accession (UniProt):
Q6PFJ1
Name::
Neuroguidin
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6PFJ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PFJ1|NGDN_DANRE Neuroguidin OS=Danio rerio OX=7955 GN=ngdn PE=2 SV=1 MAATAVGNDVIDRDLPTAVRLLNSLTEQIVSVTSHVRELIKKVREKAYQTSKGLSFLDLRYHLLLFYLQDITHLISLKTEGESLKDNSAIHRLVTIRTVLEKMRPLDQKLKYQIDKLVRTAVTGSLSENDPLHFRPNPQSLVSKLSESEDSDDDGVGGKTKEQKEPSGGRRYVPPRIAPMHYDGDLTEADRQKERVEKQKRAALRSSVIQELRQQYSDAPEEIRDRRDFQTDRQGREELNRKNYEESMMVRLSTTRDQKLRKRGMMGMTSQLSNITRFSDITALTGGEVQDIGNPKPKKKKIIKKGKKKVFRKRK