Q1QWC2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic2o5qxp3jqhiaz5d5exiww46zj6wmssdep3dlzdy2rbpt3mud4ui/metadata.json
IPFS of structure file: 
bafybeianfue5kkot73aizxkw4tvwzekar6lxrn5dxt742z6cbc6ce3r6lu/AF-Q1QWC2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x738906Bd2e852C8F7c11851E854a1a2e1bf76Ede
First NFT owner address (bech32): 
genesis1wwysd0fws5kg7lq3s50g2js69cdlwmk7uvy6x2
Current NFT ID #532274 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532274
Accession (UniProt):
Q1QWC2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
CHROMOHALOBACTER SALEXIGENS (STRAIN ATCC BAA-138 / DSM 3043 / CIP 106854 / NCIMB 13768 / 1H11)

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 Q1QWC2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1QWC2|YIDD_CHRSD Putative membrane protein insertion efficiency factor OS=Chromohalobacter salexigens (strain ATCC BAA-138 / DSM 3043 / CIP 106854 / NCIMB 13768 / 1H11) OX=290398 GN=Csal_1884 PE=3 SV=1 MRPGKRRPLTRLPFALLSWGMIGLLRVYQYGISPLLGPRCRFWPSCSQYAVEAIQVHGPLKGAWLALKRIVKCHPGHPGGVDPVPPGPHETPRKTSTHDDEPPSR