B7H9G7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidcjserb2nqzwvu34lkcogifdgjqnfwxxqm5x2aurrh7ajzawsnuy/metadata.json
IPFS of structure file: 
bafybeifmauz3ewh3facfl6autbnkongrz7ppmfa2aq6prlq2w35h3p5jhm/AF-B7H9G7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa33cBa5e22eBFfD325872345dC246EE1324F0C3E
First NFT owner address (bech32): 
genesis15v7t5h3za0laxfv8ydzacfrwuyey7rp746fm0u
Current NFT ID #532186 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532186
Accession (UniProt):
B7H9G7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain B4264)

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 B7H9G7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7H9G7|YIDD_BACC4 Putative membrane protein insertion efficiency factor OS=Bacillus cereus (strain B4264) OX=405532 GN=BCB4264_A4918 PE=3 SV=1 MKQIFIGIIRFYQKFISPMTPPTCRFYPTCSHYGLEAFQKHGAFKGFWLTCKRILKCHPFHPGGFDPVPDKKDDKVNS