Q1QMS6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeielx4o5vbo6m6ebxeapitof5mgntpw4fkre2xqvpxj4gjjznfdgya/metadata.json
IPFS of structure file: 
bafybeihzpz7q7amyb6hpouowj2ihftszzfidnrfylrcjmvw2dflruz4m5i/AF-Q1QMS6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x463Be372c11f96eeBDBC4baa0AB3805D50aD7Ccd
First NFT owner address (bech32): 
genesis1gca7xukpr7twa0dufw4q4vuqt4g26lxddh7d5q
Current NFT ID #532436 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532436
Accession (UniProt):
Q1QMS6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Nitrobacter hamburgensis (strain DSM 10229 / NCIMB 13809 / X14)

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 Q1QMS6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1QMS6|YIDD_NITHX Putative membrane protein insertion efficiency factor OS=Nitrobacter hamburgensis (strain DSM 10229 / NCIMB 13809 / X14) OX=323097 GN=Nham_1654 PE=3 SV=1 MKPTRQSSIHCADCARAALRLPRNSGRALIWIYRHTLSPLVGFNCRHLPTCSVYGDEAIERFGLWGGGWMTLARLLRCQPWGTSGIDNVPATKPPGASWYRPWRYGRWRGVNAP