Q9KWE4 AF NFT

Histidine ammonia-lyase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeielybq3qemyrkagdavgsk462knxlrydu7hhish6hcda2w34nhhtd4/metadata.json
IPFS of structure file: 
bafybeif4mnreykesjwgbvvsuylfvyarvdkp7fb4tpktanibww7cs66htsy/AF-Q9KWE4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0cC2AEeb66a4ee22dDdd908c0A663C8De1D2D3e7
First NFT owner address (bech32): 
genesis1pnp2a6mx5nhz9hwajzxq5e3u3hsa95l8jsszsh
Current NFT ID #180994 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
180994
Accession (UniProt):
Q9KWE4
Name::
Histidine ammonia-lyase
Experimental Method:
Predicted structure
Sequence source:
Agrobacterium rhizogenes

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 Q9KWE4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KWE4|HUTH_AGRRH Histidine ammonia-lyase OS=Agrobacterium rhizogenes OX=359 GN=hutH PE=3 SV=1 MTIVLRPGSVPLHHLADIYWNNGSAKLDPSFDAAVLKGAARIAEIAAGNAPVYGINTGFGKLASIKIDAADLATLQRNLILSHCCGVGAPLPENVVRLIMALKLISLGRGASGVRIELIRLIEGMLEKGVIPVIPEKGSVGASGDLAPLAHMSATMMGEGEAFYQGVQMPSKDALAKAGLSPVVLAAKEGLALINGTQTSTALALAGLFRAHRAAQSALVTGALSTDAAMGSSAPFHPDIHTLRGHKGQIDAGSALRNLLQGSEIRESHIEGDERVQDPYCIRCQPQVDGACLDLLASVARTLEIEANAVTDNPLVLSDNSVVSGGNFHAEPVAFAADQTALAVCEIGAIAQRRIALLVDPALSYGLPAFLSKKPGLNSGLMIAEVTSAALMSENKQMSHPASVDSTPTSANQEDHVSMACHGARRLLAMTDNLFGILGIEALAAVQGVELRGPLKTSPELEKAAAVLRSAVPVLEDDRYMATDLKAAIEVVASGALVSAISSGILPVLEA