Q0A8X6 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigei4twbf6v6h37rfj5htbmc5gkj45xpo4nt7uiombajyfqljrpg4/metadata.json
IPFS of structure file: 
bafybeifewv3y3nt4xqj7f3rwzqiyz3qzmsk7jllhy4ri4xcg4zthesud3e/AF-Q0A8X6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC96bf460fCE06DE673487c108d3C845a605dCf24
First NFT owner address (bech32): 
genesis1e94lgc8uupk7vu6g0sgg60yytfs9mneyme7qaw
Current NFT ID #493580 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493580
Accession (UniProt):
Q0A8X6
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
Alkalilimnicola ehrlichii (strain ATCC BAA-1101 / DSM 17681 / MLHE-1)

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 Q0A8X6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0A8X6|UVRC_ALKEH UvrABC system protein C OS=Alkalilimnicola ehrlichii (strain ATCC BAA-1101 / DSM 17681 / MLHE-1) OX=187272 GN=uvrC PE=3 SV=1 MTDVPSPFDPKAFVRSLTQRPGVYRMVDGRGEVLYVGKARNLKKRVASYFTRSRKSARIELMLTQVQDIQVTVTHTEAEALILENTLIKELRPRYNVLLRDDKSYPWIYLSSHQDFPRLSFHRGARKGPGRWFGPFPSGHAVRETLNTLQKVFRIRQCQDSFFSNRSRPCLQHQIKRCTAPCVGYISREAYQEDVRHAVLFLEGRSNQVIEELGARMEAASERLEFEAAAQYRDRIQALQAVQERQYIVGEKGDLDVIACVSDGVTACVTVFFFRQGRNLGNKVFYPRIPEGADEAEVLAAFLARYYIGRKAPPELVISHTIPEQKVLGEALSRESGHRVRVTHSVRKERRRWLEMALTNARHALTARTSTQAMALHRLEALQDALQLPALPERIECFDISHTRGEATVAACVVFNQDGPLKSDYRRFNIRGITPGDDYAAMRQALSRRYQRLKKGEGVLPDILLIDGGKGQVAQAEAVLEELQVDDVYLVGIAKGPERRPGEETLILSDEDGREKTLGPDAPALQLLQQVRDEAHRFAIAGHRQQRGKARTRSALEDIPGLGPKRRQALLRHFGGLKAVARAGVEDLARTPGISRALAQKVYDHYHGDSG