Q03QZ3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6usqqupryasodjljg6w7hcbpwpxhmnxolgbrnwdcvkzp6hzobmq/metadata.json
IPFS of structure file: 
bafybeiawqrtyei4c7rotol5zkywthbxjxsrh4ltk7e7z4wkikmhuk6h2hm/AF-Q03QZ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDe2325F89805bd90396a418dbC9aFE0bDcCdf24a
First NFT owner address (bech32): 
genesis1mc3jt7ycqk7eqwt2gxxmexh7p0wvmuj2ftu3up
Current NFT ID #532398 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532398
Accession (UniProt):
Q03QZ3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Levilactobacillus brevis (strain ATCC 367 / BCRC 12310 / CIP 105137 / JCM 1170 / LMG 11437 / NCIMB 947 / NCTC 947)

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 Q03QZ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03QZ3|YIDD_LEVBA Putative membrane protein insertion efficiency factor OS=Levilactobacillus brevis (strain ATCC 367 / BCRC 12310 / CIP 105137 / JCM 1170 / LMG 11437 / NCIMB 947 / NCTC 947) OX=387344 GN=LVIS_1274 PE=3 SV=1 MRHILIWFVRGYQRFISPLFPPTCRYYPTCSTYMVQALSKHGALKGSLMGLARILRCQPFVRGGIDPVPDHFTLKRNTAAEAAYRQAMQLDEIERHPHK