Q54G14 AF NFT

Uncharacterized protein DDB_G0290685

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihq4ret5zb5ff36acak6324xqzzdye7km2bfpswjletig3twhj45i/metadata.json
IPFS of structure file: 
bafybeigd5um3pd35t3h2nexw7z2cy3n5ececyd5vumoql3d5mutf7eexxy/AF-Q54G14-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #502819 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
502819
Accession (UniProt):
Q54G14
Name::
Uncharacterized protein DDB_G0290685
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 Q54G14 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54G14|Y0266_DICDI Uncharacterized protein DDB_G0290685 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0290685 PE=2 SV=2 MTIFDAVAKAIVPSVTHAIEENNKNREIQEKRQKETKDRNDRMVQNQKDRKEMIGLTNEKQTYSNSVKNAKTDNEKKIFQNLLDKTNSRITDIEKRQSGDISEYKRLVEENKNLEKNVKEFKEVMKPFEENDIIHNPKHVDEDTIEENKKKMEDIKEVLGFTKTAANGGLPPNHDEDNKKIAELKKKYDDVKNHGHSNSGGLVGSVFNAIVPSVKENLRNAELENIQKEIKQTEDKISNDDKFYNTYKLTDDERKQFGSNPGDPQATPTPTPTPTPTPTPTPTPTTTTTTTTTPKPTTTTTTTSTTTPTKTSTNTNDKPGIFETVGGGSGKVADALNPIRIVTGGAIFSDTMEKIGGGSGKLADEGVEAVGSGISNFAQSVGIIPKKQEPKKDENNNQSNNNNNNNQAGDDQNKNQNRDENNQGGENNQGGENNQDGENNQNGDENNQGGENNQGDENNQGGENNQGDQNNQDGGENNQDGGENNQDGHGNNQDGENNQDGGENNQDSGENNQDGGENNQDGGENNQDGGENNQDGGENNQDGGENNQDGGENNQDGENNQDGENNQENNRDGENNQDGGENNQDGGENNQDGENNQDGGENNQDDGENKQDGGENNQDGGENNQDDGENNQDGENNQDGGENNQDGDENNQDSGENNQDSGENNQDGGENNQDGDENNQDGGENNQDGENNQNGENNQDGGENNQDGENNQDGENNQDGGENNQDGGENNQDGGEDNQDGGENNQEGGEDNQDGGEDNQDGGEDNQDGGENNQGDENNQDVDENNQDGENNQDGDENNQDGENNQDGENNQDGDENNNQDGEQNQDGDENNQDGGENNQDGDENNNQDGDENNNQDGGENNQDGGENNQDGDENNNQDGGENNQDGENNQDGDENNNQDGEQNQDGDENNQEGDENNNQGDDENNNQDGDENNNQDGDENNQDGDENNQDGDENNQGNDENNQDGDQNNQGGDENNQDGDGENNQGDENNQDGGENNQDGGENNQDQDGSENNQGNNENNQGGDENNQDQDGGENNQGNDENNQGGDENNQGNENDQGGDENNQGGDENTNQEENGGNDE