A1JLV6 AF NFT

UvrABC system protein C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeify4hnvkk6prqbc4lcg6rh67mkyjhwnpj36fxv2sz4kjuysdy6gum/metadata.json
IPFS of structure file: 
bafybeidn36yk5rj5aop6c3kqyrzay62emp2opaf7mzfexvg2p5mgkselzq/AF-A1JLV6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #494149 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
494149
Accession (UniProt):
A1JLV6
Name::
UvrABC system protein C
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA SEROTYPE O:8 / BIOTYPE 1B (STRAIN NCTC 13174 / 8081)

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 A1JLV6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1JLV6|UVRC_YERE8 UvrABC system protein C OS=Yersinia enterocolitica serotype O:8 / biotype 1B (strain NCTC 13174 / 8081) OX=393305 GN=uvrC PE=3 SV=1 MTDCFDSKEFLKTVTSQPGVYRMYDKAGTVIYVGKAKDLKKRLTSYFRAHVASRKTETLVKNIAQIDVTVTHTETEALLLEHNYIKLYQPRYNVLLRDDKSYPLIFLSADKHPRLAIHRGAKHEKGEYFGPFPNSYAVRETLALLQKLFPVRQCENSVYRNRSRPCLQYQIGRCSGPCVPGLVSEEEYQRQVDYVRLFLSGKDQQVLTQLISRMEEASRLLHFEDAARIRDQIQAVRRVTEQQFVSGDSEDLDVIGVAFDAGLACVHVLFIRQGKVLGSRSYFPKVPAGTELSEVVQTFVGQFYLQGSQVRTLPGEILLDFTLAEKDLLASSLSELAGRKIQIQSRPRGDRARYLKLARTNASTALVTRLSQQSTIHQRMKELAKILNLDEINRMECFDISHTMGEQTVASCVVFDANGPVRSEYRRYNISGITPGDDYAAMSQVLKRRYGKALDDKKIPDVIFIDGGKGQLSQAFDVFASLNVPWDKQKPLLVGVAKGSDRKAGLETLFLAAEGEGFSLPPDSPALHLIQHIRDDSHHHAITGHRQRRSKVKNTSALELIEGVGPKRRQILLKYMGGLQPLLNASVEEIAKVPSISQALAEKIYNALKH