B7NF22 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxolgvkip5jlyevjro2ulxnaboijjve5lodzxs3caohcget4cv2u/metadata.json
IPFS of structure file: 
bafybeick4booaqtzqyh35fj5wmp37ts3l3iwntjsa5gxvsqk2aqj63iaxe/AF-B7NF22-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #532332 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532332
Accession (UniProt):
B7NF22
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli O17:K52:H18 (strain UMN026 / ExPEC)

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 B7NF22 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7NF22|YIDD_ECOLU Putative membrane protein insertion efficiency factor OS=Escherichia coli O17:K52:H18 (strain UMN026 / ExPEC) OX=585056 GN=yidD PE=3 SV=1 MAPPLSPGSRVLIALIRVYQRLISPLLGPHCRFTPTCSSYGIEALRRFGVIKGSWLTVKRVLKCHPLHPGGDDPVPPGPFDTREH