Q7MXZ3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiais6pqmstdlbd5l7zmfyw3omfysps3qxzzmyn3bkj7xaq7tw3ljm/metadata.json
IPFS of structure file: 
bafybeigsdvjw7tsb5exedv56tj5q3qv7r3min3vvtvc3k5c55llmgdcil4/AF-Q7MXZ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #532459 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532459
Accession (UniProt):
Q7MXZ3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
PHOTORHABDUS LAUMONDII SUBSP. LAUMONDII (STRAIN DSM 15139 / CIP 105565 / TT01)

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 Q7MXZ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7MXZ3|YIDD_PHOLL Putative membrane protein insertion efficiency factor OS=Photorhabdus laumondii subsp. laumondii (strain DSM 15139 / CIP 105565 / TT01) OX=243265 GN=plu4907 PE=3 SV=1 MASSLSFGSRFLIALIRGYQLVISPLLGPRCRFNPTCSQYGIEALRRFGVIKGCWLTVKRVLKCHPLHEGGDDPVPPVKNNDNREH