Q3I5G7 AF NFT

Alpha-synuclein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicrxsndpnm47j4vkbdbmgc6y53ah57eq6y2sinsmv3dkxv3w2hrwe/metadata.json
IPFS of structure file: 
bafybeigqagztx6pb4sz4mapkefog4zoxqeq6ntrjoc6slxjtw4eovuiy7e/AF-Q3I5G7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #454792 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454792
Accession (UniProt):
Q3I5G7
Name::
Alpha-synuclein
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q3I5G7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3I5G7|SYUA_PIG Alpha-synuclein OS=Sus scrofa OX=9823 GN=SNCA PE=2 SV=1 MDVFMKGLSKAKEGVVAAAEKTKQGVAEAAGKTKEGVLYVGSKTKEGVVHGVTTVAEKTKEQVTNVGEAVVTGVTAVAQKTVEGAGSIAAATGFGKKDQLGKNEEGAPQEGILEDMPVDPDNEAYEMPSEEGYQDYEPEA