Q54KL9 AF NFT

Putative uncharacterized protein DDB_G0287263

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemvat7iq7vrwskrel3jvyc5goprsytos5yp4rxhvyi37innzcnfu/metadata.json
IPFS of structure file: 
bafybeibej2c3iy57msssnxwcd5vbid4je7c7w3pzrpvsmy34q52ma2uh7m/AF-Q54KL9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf1770e5260EEBa91B7A9E674F368eD787DE8992D
First NFT owner address (bech32): 
genesis179msu5nqa6afrdafue60x68d0p773xfdve7fpn
Current NFT ID #522828 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
522828
Accession (UniProt):
Q54KL9
Name::
Putative uncharacterized protein DDB_G0287263
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 Q54KL9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54KL9|Y9209_DICDI Putative uncharacterized protein DDB_G0287263 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0287263 PE=4 SV=1 MELLNKSISVVKNVVCNFLFEKIKIDENINIDGIDSGPGMSKRLTTSTNINVVLVLIIALIIFILMLDGV