Q9FHY1 AF NFT

Protein ABIL4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihi6q7gp366itgmfw2fbwbhjovcpwerkkph6xci7wnt2nvbrf2z7m/metadata.json
IPFS of structure file: 
bafybeic2h3hzwatrcixcrfztq3uj7jmvgiadpv3s4e6oa6ia6euhw7vcuu/AF-Q9FHY1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #3773 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
3773
Accession (UniProt):
Q9FHY1
Name::
Protein ABIL4
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9FHY1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FHY1|ABIL4_ARATH Protein ABIL4 OS=Arabidopsis thaliana OX=3702 GN=ABIL4 PE=2 SV=1 MASSTSLAIVLHQSSNHDELFMKQTLQFSETLKDLKNLRKQLYSAAEYFETSYGKAEHKETVIETLKEYAAKAVVNTVDHLGSVSDKFNSFLSDNSTHFSTTHLRLSSLEQRMRLCRDYMGKSGTHQHLLLFQYPRHHKRYFFPQQGRGTSFSAGDDSHRFTSAVRSTILENLPNTARKANKTGSFSFAPIVHNNINNRTPNKRSNSPMRFPLLRSGSLLKRSSSPSQPKKPPLALPEPQRAISVSRNTEIVEIKQSSSRKGKKILMFKALMSMSKSRN