Q1CFQ8 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6wfm5aaqpjsiheuk3px5irlgbpx72dxkzq7d3fhwpnhkaei4g5u/metadata.json
IPFS of structure file: 
bafybeibfdug3mwbcy545nluen764fux7wmhv37cmhpqxnnreq2pufr4nvu/AF-Q1CFQ8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8b72a4c628baA76f05175Df71bc6E1918ED560d2
First NFT owner address (bech32): 
genesis13de2f33gh2nk7pghthm3h3hpjx8d2cxjmf3mwa
Current NFT ID #493558 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493558
Accession (UniProt):
Q1CFQ8
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CFQ8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CFQ8|UVRB_YERPN UvrABC system protein B OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=uvrB PE=3 SV=1 MSKSFKLHSVFKPAGDQPEAIRKLEEGLENGLAHQTLLGVTGSGKTFTVANVIADLNRPTMILAPNKTLAAQLYGEMKEFFPDNAVEYFVSYYDYYQPEAYVPSSDTFIEKDASVNEHIEQMRLSATKALLERRDVVVVASVSAIYGLGDPDLYLKMMLHLTRGMIIDQRSILRRLSELQYSRNDQVFQRGTFRVRGEVIDIFPAESDEWALRVELFDEEVERLSIFDPLTGQLQHEVPRFTVYPKTHYVTPRERILQAMEEIKVELAERRQVLLANNKLLEEQRLSQRTQFDLEMMNELGYCSGIENYSRYLSGRGPGEAPPTLFDYLPADGLLIVDESHVTIPQIGGMYKGDRSRKETLVEYGFRLPSALDNRPMRFEEFEALAPQTIYVSATPGKYELEKSGGDIIEQVVRPTGLLDPLIEVRPVATQVDDLLSEIRIRAAINERVLVTTLTKRMAEDLTDYLSEHGAKVRYLHSDIDTVERVEIIRDLRLGEFDVLVGINLLREGLDMPEVSLVAILDADKEGFLRSERSLIQTIGRAARNLNGKAILYGDRITASMEKAIGETERRRAKQQAYNEERRIIPQGLNKKIGDILQLGQPSMRGKGKGRGSHKMADTTQYQSLSPKALDQKIRELEAKMYTYAQNLEFEQAAELRDQVHQLRQQFIAIS