Q4UM10 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmwnwi7gtjl3pizkuwlnfelf5e57ne5n45waatdg6mqh6knqjxpm/metadata.json
IPFS of structure file: 
bafybeigr7pc6rdx3cwnynpx6ihtzcnwodfw76ruhrrilr3qeo2t7vpi2ne/AF-Q4UM10-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x878270033Ee620a8cF73fb621f575785954ef24B
First NFT owner address (bech32): 
genesis1s7p8qqe7ucs23nmnld3p746hsk25aujtr3caqr
Current NFT ID #532507 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532507
Accession (UniProt):
Q4UM10
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Rickettsia felis (strain ATCC VR-1525 / URRWXCal2)

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 Q4UM10 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4UM10|YIDD_RICFE Putative membrane protein insertion efficiency factor OS=Rickettsia felis (strain ATCC VR-1525 / URRWXCal2) OX=315456 GN=RF_0562 PE=3 SV=1 MTRILLLLLRFYQYFISPLLGNNCRFHPTCSEYAKEAITTHGTLKGLWLTFKRIIKCQPFCNGGYDAVPLSIKNSKLFNKKI