Q03A13 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5n6agtewo5pwdcclypkajrnwand6wjna64eqo6rrrzzw2qmz3ni/metadata.json
IPFS of structure file: 
bafybeie6q5rrydkqzuvdhj57hxkjbv26bg5jkbxhugtu5ybd4qjov7xlda/AF-Q03A13-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #532383 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532383
Accession (UniProt):
Q03A13
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Lacticaseibacillus paracasei (strain ATCC 334 / BCRC 17002 / CCUG 31169 / CIP 107868 / KCTC 3260 / NRRL B-441)

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 Q03A13 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03A13|YIDD_LACP3 Putative membrane protein insertion efficiency factor OS=Lacticaseibacillus paracasei (strain ATCC 334 / BCRC 17002 / CCUG 31169 / CIP 107868 / KCTC 3260 / NRRL B-441) OX=321967 GN=LSEI_1171 PE=3 SV=1 MKQVLTWLVRGYQRFISPLLPPSCRYYPTCSTYMIQALQKHGAIKGSLMGIARILRCNPFVKGGLDPVPAFFTLRRNPHPENDLDLSDIQNLNHKLGGRHG