Q1GXL5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifcm2shdlosxge4tcvilnkp4injpntaicba5a5zpawd6ie4grgaxa/metadata.json
IPFS of structure file: 
bafybeifzfsfshh7wx6uxb5xzja4kiagw4deyrf3ltjmahcv5a7hd7rcrsu/AF-Q1GXL5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4eeFE54a22B1b00963d23684aF0369c867210F7E
First NFT owner address (bech32): 
genesis1fmh72j3zkxcqjc7jx6z27qmfepnjzrm7aehy24
Current NFT ID #532414 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532414
Accession (UniProt):
Q1GXL5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Methylobacillus flagellatus (strain KT / ATCC 51484 / DSM 6875)

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 Q1GXL5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1GXL5|YIDD_METFK Putative membrane protein insertion efficiency factor OS=Methylobacillus flagellatus (strain KT / ATCC 51484 / DSM 6875) OX=265072 GN=Mfla_2759 PE=3 SV=1 MLARLLVGLIKLYQWTLSPLLGQRCRFYPTCSQYAVEAIQKHGAWRGAFFTICRLSKCHPWHDGGHDPVP