Q54W64 AF NFT

Uncharacterized protein DDB_G0279899

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig2q7okzg4sswr7pbnnfkrtecwtbwyhuudsni3kkssgjwhsu5gxbi/metadata.json
IPFS of structure file: 
bafybeicjxl4teuuvipeytvpzhxxmur3gt77b3ybgitkhapweh7v4upg7cu/AF-Q54W64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeCDf58944d8eAe177c5bd8604F42e1Cfaac85467
First NFT owner address (bech32): 
genesis1an0439zd36hpwlzmmpsy7shpe74vs4r80zfyey
Current NFT ID #523420 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
523420
Accession (UniProt):
Q54W64
Name::
Uncharacterized protein DDB_G0279899
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54W64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54W64|Y9899_DICDI Uncharacterized protein DDB_G0279899 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0279899 PE=4 SV=2 MDSISKYDNKCAIHKEHKIKMICATCKDVVCNECILLDHNGHKFGRIDVENSKEIFEEFKNNHLQNLDKQIGINNELLNESNNLFKSLEDKHTENVNTITEVFKELPKLLPIIEIDKIKQLVTLYDENKDINTNISTIVHDYSNNINLITNKYKNTINQINIDQIINDNNSYQHIEILKHCCQSRLLIKDNQNENKINELMDQYKNVNFVNNSEQVKESIKEIFEISNSLSITNVKDPKRVIAGGKECFIYKNDSIIPNGTTHLAIAPSVKTIKIGSIPTSVKYLVLLDGFNVQLKEGMLPQSITHLFVGAIKKPLLKGSIPNGVTDLSLLDGFNQKITEIPQSTVHLYLFDTPLTNFPFQNFILRTSKYKQQFAHPKVKDWNLSTWEPKIEL