Q65GZ1 AF NFT

Putative membrane protein insertion efficiency factor 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiclvnjtcar3qrwq5ppkyoyawcslu33v6owcjsapmu4i4jujhozgnu/metadata.json
IPFS of structure file: 
bafybeic67uxurke5irebosrhpdmrhykqqgwviywahblf5dl5o2ya3bltre/AF-Q65GZ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeB220F0B5b0C48F46B5DDd3E3b071BC0827f8D6
First NFT owner address (bech32): 
genesis1h6ezpu94krzg7344mhf78vr3hsyz07xk78k92g
Current NFT ID #532148 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532148
Accession (UniProt):
Q65GZ1
Name::
Putative membrane protein insertion efficiency factor 1
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65GZ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65GZ1|YIDD1_BACLD Putative membrane protein insertion efficiency factor 1 OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=BLi02802 PE=3 SV=1 MKRAAIIFIRFYQKAISPLFPPTCRFYPTCSNYGLEAIQRFGFIKGSYLLIKRLLKCHPLHPGGFDPVPNQTDQKKEGDSD