Q67J30 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiej4d54vwpjhctz4uqmslifm35k62w6d3l4ef4xuj7kny653wm2ey/metadata.json
IPFS of structure file: 
bafybeibccnq4rjc2dgssxgro7lr3sr6nma4eo4mtyizxoymeyf3w6wfxyi/AF-Q67J30-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9E40D5Ff2B2C3Aa13a3053E7Ff044C0F696c1e58
First NFT owner address (bech32): 
genesis1neqdtlet9sa2zw3s20nl7pzvpa5kc8jcu0akrm
Current NFT ID #532606 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532606
Accession (UniProt):
Q67J30
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
SYMBIOBACTERIUM THERMOPHILUM (STRAIN T / IAM 14863)

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 Q67J30 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67J30|YIDD_SYMTH Putative membrane protein insertion efficiency factor OS=Symbiobacterium thermophilum (strain T / IAM 14863) OX=292459 GN=STH3339 PE=3 SV=1 MTRLLMLLVRFYQRYLSPLKGGPTCRFTPSCSQYAYEALAKYGAIKGTWLAVRRVLRCHPFHPGGYDPVP