Q54P94 AF NFT

Putative uncharacterized protein DDB_G0284695

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidzs3dvykndlphcfusvsozdbo3dcjrqetaokihzas7hrn6dqfpiyy/metadata.json
IPFS of structure file: 
bafybeibcoemtwyhmceuenl3zuwhpelnuujab2zxmufztcroyzq5kncyhbi/AF-Q54P94-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x25407324632f250b48F55dc1AAaAf437C879135C
First NFT owner address (bech32): 
genesis1y4q8xfrr9ujskj84thq642h5xly8jy6ukdeppe
Current NFT ID #520203 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520203
Accession (UniProt):
Q54P94
Name::
Putative uncharacterized protein DDB_G0284695
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 Q54P94 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54P94|Y6147_DICDI Putative uncharacterized protein DDB_G0284695 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0284695 PE=4 SV=1 MSYSNTSGYNFNNRNDSDNDEENNNSNNINNGNNRNNENNENNESLKRKFEESFDEDENNNNINTNNNSSNSNIQPPSKRQEINYNVNDISNDSSYHSDEEENSSDSDVSLNKTNNSTFENFKNNKNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNKEEEGENFIESRTVSSPEISNTYVITINGNKKEIELYGKDDTTYNSQSSVSLPPLVDNAPPHIHHIDFNNNNNNNNNNNNNNNNNNNNRGGRGGYRGGHRGGRGASNNYNRNQQWHPSDGTPPPQQQHQNRNNNQQWHPSDGTPSPQQQQQHQNRNNNQQWHPSDGTPPPSSSHQNRNNNNNQQWHPSDGGSPPPSHQNKYQNNPGYQKRNNNQQQWHPSDGTPPPSHQNRNNHQQQQWHPSDGTPPPSHQNRNNQPFNRNLSPNQNRYPQNQQKMQQQQQPHPSD