Q5NI55 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihb3kk66updeqtnn4ycumxd5k5vw5emd4gqgxog7p5jgw5epoprty/metadata.json
IPFS of structure file: 
bafybeifmqtmowrreylaysqny6ty6jwg2wxanmdiwgnpahug3u4mupi5dii/AF-Q5NI55-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #532346 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532346
Accession (UniProt):
Q5NI55
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
FRANCISELLA TULARENSIS SUBSP. TULARENSIS (STRAIN SCHU S4 / SCHU 4)

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 Q5NI55 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5NI55|YIDD_FRATT Putative membrane protein insertion efficiency factor OS=Francisella tularensis subsp. tularensis (strain SCHU S4 / Schu 4) OX=177416 GN=FTT_0234c PE=3 SV=1 MLINLYRYCISPFIPARCRYYPTCSEYALEALKTHGILKGLYLTTRRLLRCHPLSKRDYYDLVPCKNKKG