Q54KP9 AF NFT

Putative uncharacterized protein DDB_G0287183

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeichobv6xntq6zykxfeot276akgz2fe7ddiv2hi3ylune46s53zr4y/metadata.json
IPFS of structure file: 
bafybeihohyssb7m6jhxaqrlu2oq7iwo5bw4z6uhncck6ggegphhpa6227e/AF-Q54KP9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7a1388B6Aad67B04634A32f63b8A6D6005eab86c
First NFT owner address (bech32): 
genesis10gfc3d426easgc62xtmrhzndvqz74wrv0qh3l8
Current NFT ID #519779 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
519779
Accession (UniProt):
Q54KP9
Name::
Putative uncharacterized protein DDB_G0287183
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 Q54KP9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54KP9|Y5768_DICDI Putative uncharacterized protein DDB_G0287183 OS=Dictyostelium discoideum OX=44689 GN=DDB_G0287183 PE=5 SV=2 MNPSIKYTIEINKYPISQSLNTNQFVMSASFISSETNDDICCLSKEFGNTTSSGGGGGGGGCGGGGCGGGGGGGGGGGGGGGVNNHSVYGRFIKRAIIDSKVQSIENILLDSTMKPISNLHIQLKVLLVSQFHNIQIVLLLIQTFQSLLIKVILKFVQIIHLLLKVNDRWYRHW