P61469 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiarqhu4d3gfsa6q4m3pmk7idvtfk4hbsej62gtujn7g7y4lviywwe/metadata.json
IPFS of structure file: 
bafybeicjvtoapfbl3j53kmg7pdlkpk2xkfjrff6y43d6f5nq7fweh3l52u/AF-P61469-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x11660B6378FB4Fb96fb7661ce3797785a932fe28
First NFT owner address (bech32): 
genesis1z9nqkcmcld8mjmahvcwwx7thsk5n9l3gm47jem
Current NFT ID #532350 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532350
Accession (UniProt):
P61469
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
GEOBACTER SULFURREDUCENS (STRAIN ATCC 51573 / DSM 12127 / PCA)

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 P61469 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P61469|YIDD_GEOSL Putative membrane protein insertion efficiency factor OS=Geobacter sulfurreducens (strain ATCC 51573 / DSM 12127 / PCA) OX=243231 GN=GSU3467 PE=3 SV=1 MLKGILYIIGIYQRYLSPLKGPTCRFYPSCSRYAHESLTRYGLVKGLWLTTIRILKCHPFHPGGVDPVK