Q6MBF7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiap4pex3pdxev32abfhjc744bhypi6tnnq6bmvgxkmcg2v6n3dlq4/metadata.json
IPFS of structure file: 
bafybeibpy3xo2oydj73b4tmqeicrckbs5lsuupajdy4z4me2pxzutk36rq/AF-Q6MBF7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x59831851785564a18a1683eC0D58dc237FF9e3E0
First NFT owner address (bech32): 
genesis1txp3s5tc24j2rzsks0kq6kxuydllnclqjw5n6g
Current NFT ID #532451 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532451
Accession (UniProt):
Q6MBF7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Protochlamydia amoebophila (strain UWE25)

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 Q6MBF7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6MBF7|YIDD_PARUW Putative membrane protein insertion efficiency factor OS=Protochlamydia amoebophila (strain UWE25) OX=264201 GN=pc1368 PE=3 SV=1 MIKKLLIYFVRFYQYTLSPLLGLTCRFYPTCSEYMILALQKHGAMKGAYLGVKRICRCHPWNPGGHDPVPESTILSKEKSVK