C3LB28 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4ob5sj4vyizfs7mnqqxc2ls4nkbjekgrldyc2pyojzhf7xb4ggu/metadata.json
IPFS of structure file: 
bafybeieprnag3nelwj6wdawlg57qyb7eg3zpxtxheuzjtv7tl2ku4rtbke/AF-C3LB28-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4ccf07E1804Dc60f0201B86045710249a508B4e8
First NFT owner address (bech32): 
genesis1fn8s0cvqfhrq7qsphpsy2ugzfxjs3d8ghsgkpr
Current NFT ID #532180 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532180
Accession (UniProt):
C3LB28
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus anthracis (strain CDC 684 / NRRL 3495)

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 C3LB28 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3LB28|YIDD_BACAC Putative membrane protein insertion efficiency factor OS=Bacillus anthracis (strain CDC 684 / NRRL 3495) OX=568206 GN=BAMEG_5083 PE=3 SV=1 MKQIFIGIIRFYQKFISPMTPPTCRFYPTCSHYGLEAFQKHGAFKGFWLTCKRILKCHPFHPGGFDPVPDKKDDKVNS