A5U2C2 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib6hkpuzb2izrjp45nuitevz5cec66gqyyku7abuwbahce6wm35c4/metadata.json
IPFS of structure file: 
bafybeide4f3hgfyhfmqsttavzxmjnrgda3bxv24n7k65joatf6aqpyc7qm/AF-A5U2C2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x68620c802c426d7f61fe64f55dbeD2F0430D544b
First NFT owner address (bech32): 
genesis1dp3qeqpvgfkh7c07vn64m0kj7pps64ztm3ewk0
Current NFT ID #493887 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493887
Accession (UniProt):
A5U2C2
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25177 / H37RA)

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 A5U2C2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5U2C2|UVRC_MYCTA UvrABC system protein C OS=Mycobacterium tuberculosis (strain ATCC 25177 / H37Ra) OX=419947 GN=uvrC PE=3 SV=1 MPDPATYRPAPGSIPVEPGVYRFRDQHGRVIYVGKAKSLRSRLTSYFADVASLAPRTRQLVTTAAKVEWTVVGTEVEALQLEYTWIKEFDPRFNVRYRDDKSYPVLAVTLGEEFPRLMVYRGPRRKGVRYFGPYSHAWAIRETLDLLTRVFPARTCSAGVFKRHRQIDRPCLLGYIDKCSAPCIGRVDAAQHRQIVADFCDFLSGKTDRFARALEQQMNAAAEQLDFERAARLRDDLSALKRAMEKQAVVLGDGTDADVVAFADDELEAAVQVFHVRGGRVRGQRGWIVEKPGEPGDSGIQLVEQFLTQFYGDQAALDDAADESANPVPREVLVPCLPSNAEELASWLSGLRGSRVVLRVPRRGDKRALAETVHRNAEDALQQHKLKRASDFNARSAALQSIQDSLGLADAPLRIECVDVSHVQGTDVVGSLVVFEDGLPRKSDYRHFGIREAAGQGRSDDVACIAEVTRRRFLRHLRDQSDPDLLSPERKSRRFAYPPNLYVVDGGAPQVNAASAVIDELGVTDVAVIGLAKRLEEVWVPSEPDPIIMPRNSEGLYLLQRVRDEAHRFAITYHRSKRSTRMTASALDSVPGLGEHRRKALVTHFGSIARLKEATVDEITAVPGIGVATATAVHDALRPDSSGAAR