Q68X21 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiflvd7fqg5kvrdtusq6bujoefdlztjsjqdrujbwzgewsjynv466ei/metadata.json
IPFS of structure file: 
bafybeic4gipqb4oyd5mxx3a2heuknmudaeex6yjkla4ir7k4ghnaomu27i/AF-Q68X21-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8719F119347D3c1a2ffc2ea3A2408f52f4c89F2A
First NFT owner address (bech32): 
genesis1suvlzxf5057p5tlu9636ysy02t6v38e2aejveg
Current NFT ID #532511 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532511
Accession (UniProt):
Q68X21
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA TYPHI (STRAIN ATCC VR-144 / WILMINGTON)

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 Q68X21 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q68X21|YIDD_RICTY Putative membrane protein insertion efficiency factor OS=Rickettsia typhi (strain ATCC VR-144 / Wilmington) OX=257363 GN=RT0341 PE=3 SV=1 MTKILLLTITFYKYFISPLLGNNCIFSPTCSEYAQEAIITHGIIKGLWLTFRRIIKCQPFCIGGYDNVPTSIKNSKQPTKKI