Q9X1H3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia7vvgp37o7llcpjhvoffcbzq5q5ovcbw3wpmg7qj6z5p4grlkldi/metadata.json
IPFS of structure file: 
bafybeiaxtgqnujh5qnad7ubzul33adk2mxn4ezbjbsvbkgqajd3b7mmst4/AF-Q9X1H3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x136D36477109D2950D3fC03D98b07D430b523238
First NFT owner address (bech32): 
genesis1zdknv3m3p8ff2rflcq7e3vragv94yv3c8rn4ce
Current NFT ID #532622 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532622
Accession (UniProt):
Q9X1H3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
THERMOTOGA MARITIMA (STRAIN ATCC 43589 / DSM 3109 / JCM 10099 / NBRC 100826 / MSB8)

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 Q9X1H3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9X1H3|YIDD_THEMA Putative membrane protein insertion efficiency factor OS=Thermotoga maritima (strain ATCC 43589 / DSM 3109 / JCM 10099 / NBRC 100826 / MSB8) OX=243274 GN=TM_1462 PE=3 SV=1 MKKLLIMLIRFYQRYISPLKPPTCRFTPTCSNYFIQALEKHGLLKGTFLGLRRILRCNPLSKGGYDPVPEEFSFKPRRRWS