A0Q420 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeief2gykpvfnkzgedk4altilzjlqu3rp7zdcqgyvphnyna3ittti2a/metadata.json
IPFS of structure file: 
bafybeiddh56xib4ucsc6mj4fl6n6queeu2cav477asbiook2cqx5ziz4gu/AF-A0Q420-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #532345 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532345
Accession (UniProt):
A0Q420
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
FRANCISELLA TULARENSIS SUBSP. NOVICIDA (STRAIN U112)

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 A0Q420 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0Q420|YIDD_FRATN Putative membrane protein insertion efficiency factor OS=Francisella tularensis subsp. novicida (strain U112) OX=401614 GN=FTN_0074 PE=3 SV=1 MFFKKITLIPFVMLINLYRYCISPFIPARCRYYPTCSEYALEALKTHGILKGLYLTTRRLLRCHPLSKRDYYDPVPCKNKKG