B5YBN7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmlbppd6gxx2izchl6ip7aa36ufgzr2lt422slvzzo367fkn7una/metadata.json
IPFS of structure file: 
bafybeigzqnyjpejevstpv5e3xy27n3qafj6nly7qnlzz3ws5ktlwmx37g4/AF-B5YBN7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #532318 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532318
Accession (UniProt):
B5YBN7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
DICTYOGLOMUS THERMOPHILUM (STRAIN ATCC 35947 / DSM 3960 / H-6-12)

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 B5YBN7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5YBN7|YIDD_DICT6 Putative membrane protein insertion efficiency factor OS=Dictyoglomus thermophilum (strain ATCC 35947 / DSM 3960 / H-6-12) OX=309799 GN=DICTH_1847 PE=3 SV=1 MRGLLIILIKFYKKFISPVLPKSCRFYPTCSTYALEAIERFGAFEGGILAIKRILRCHPFNPGGYDPVPTKEEFLELKLKRRKNK