C1AN65 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiat3hfyke3ntoyghms7t37i7prxcrl73rdti75aq3qb5ykg2zy2ta/metadata.json
IPFS of structure file: 
bafybeifx3lqrosnu3rymmk65nlgj2xxr54m3asteivedf3fcefk6kgpx64/AF-C1AN65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbCDc8dCF5740f40DccC5eb23D421a373B3e1f998
First NFT owner address (bech32): 
genesis1hnwgmn6hgr6qmnx9av3aggdrwwe7r7vc9v7nun
Current NFT ID #493871 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
493871
Accession (UniProt):
C1AN65
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
Mycobacterium bovis (strain BCG / Tokyo 172 / ATCC 35737 / TMC 1019)

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 C1AN65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1AN65|UVRC_MYCBT UvrABC system protein C OS=Mycobacterium bovis (strain BCG / Tokyo 172 / ATCC 35737 / TMC 1019) OX=561275 GN=uvrC PE=3 SV=1 MPDPATYRPAPGSIPVEPGVYRFRDQHGRVIYVGKAKSLRSRLTSYFADVASLAPRTRQLVTTAAKVEWTVVGTEVEALQLEYTWIKEFDPRFNVRYRDDKSYPVLAVTLGEEFPRLMVYRGPRRKGVRYFGPYSHAWAIRETLDLLTRVFPARTCSAGVFKRHRQIDRPCLLGYIDKCSAPCIGRVDAAQHRQIVADFCDFLSGKTDRFARALEQQMNAAAEQLDFERAARLRDDLSALKRAMEKQAVVLGDGTDADVVAFADDELEAAVQVFHVRGGRVRGQRGWIVEKPGEPGDSGIQLVEQFLTQFYGDQAALDDAADESANPVPREVLVPCLPSNAEELASWLSGLRGSRVVLRVPRRGDKRALAETVHRNAEDALQQHKLKRASDFNARSAALQSIQDSLGLADAPLRIECVDVSHVQGTDVVGSLVVFEDGLPRKSDYRHFGIREAAGQGRSDDVACIAEVTRRRFLRHLRDQSDPDLLSPERKSRRFAYPPNLYVVDGGAPQVNAASAVIDELGVTDVAVIGLAKRLEEVWVPSEPDPIIMPRNSEGLYLLQRVRDEAHRFAITYHRSKRSTRMTASALDSVPGLGEHRRKALVTHFGSIARLKEATVDEITAVPGIGVATATAVHDALRPDSSGAAR