Q9KSP2 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigrsze5bdkdqzxejg4ezwq6vkmqjlau4ixgefdmfsc5zko34rsr4e/metadata.json
IPFS of structure file: 
bafybeihdckn2b5vmrkxypzei4fr2t4vjcw7ff3hlncgnb7rlss4tz4g3oa/AF-Q9KSP2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE229EdeD61EFb545DAE9B8a4f960D454031902E6
First NFT owner address (bech32): 
genesis1ug57mmtpa765tkhfhzj0jcx52sp3jqhx36sa8d
Current NFT ID #494128 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
494128
Accession (UniProt):
Q9KSP2
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN ATCC 39315 / EL TOR INABA N16961)

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 Q9KSP2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KSP2|UVRC_VIBCH UvrABC system protein C OS=Vibrio cholerae serotype O1 (strain ATCC 39315 / El Tor Inaba N16961) OX=243277 GN=uvrC PE=3 SV=1 MSTQFDSAPFLKTVTNQPGVYRMYNAEAEVIYVGKAKDLKKRLTSYFRKNLDSEKTKALVSNIAKIDVTVTHTETEALILEHNYIKQYLPKYNVLLRDDKSYPYIFLSAHKHPRLSSHRGAKKRRGEYFGPYPDSGAVRETLHLIQKIFPVRQCEDTVYSNRTRPCLMYQIGRCAGPCVKGLISDQGYQEIVHYLRLFLQGKDNQVLSILVEKMEQASRELRFEDAAKARDQIQAIRRVQEQQFVSDDSLEDLDVLGFAQENGIACIHILMIRQGKVLGSRSHFPKIPSDTSQVEVFESFLSQYYLSHSEARSIPARIILNRGLTEETEALQIAISELAGRKVTFHVNPTGTRGRYLKLANTNALTAITTKMNHKMTISQRFKALQEELGMDAITRMECFDISHTMGESTMASCVVFNQEGPLKQEYRRYNITGITGGDDYAAMAQVLERRYSKQLDSSKIPDIIFIDGGKGQLNRAYEIISSCWQDWPKYPKIIGIAKGVTRKPGLETLITIDGDEFHLPSDAPALHLIQHIRDESHNHAIAGHRAQRGKTRRTSTLEGIEGVGPKRRQALLKYLGGMQELKRASVEEIAKVPGISHALAENIYQALKQ