Q1C942 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihmbb7nxx5e54q55hikrdiywswp2jxcymyeatsp4soa577yfz3rcu/metadata.json
IPFS of structure file: 
bafybeiaymahd6jaehxgypkarsis4vcvidexd6aglnycnc6dezjps2cinie/AF-Q1C942-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #493554 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493554
Accession (UniProt):
Q1C942
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C942 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C942|UVRB_YERPA UvrABC system protein B OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=uvrB PE=3 SV=1 MSKSFKLHSVFKPAGDQPEAIRKLEEGLENGLAHQTLLGVTGSGKTFTVANVIADLNRPTMILAPNKTLAAQLYGEMKEFFPDNAVEYFVSYYDYYQPEAYVPSSDTFIEKDASVNEHIEQMRLSATKALLERRDVVVVASVSAIYGLGVPDLYLKMMLHLTRGMIIDQRSILRRLSELQYSRNDQVFQRGTFRVRGEVIDIFPAESDEWALRVELFDEEVERLSIFDPLTGQLQHEVPRFTVYPKTHYVTPRERILQAMEEIKVELAERRQVLLANNKLLEEQRLSQRTQFDLEMMNELGYCSGIENYSRYLSGRGPGEAPPTLFDYLPADGLLIVDESHVTIPQIGGMYKGDRSRKETLVEYGFRLPSALDNRPMRFEEFEALAPQTIYVSATPGKYELEKSGGDIIEQVVRPTGLLDPLIEVRPVATQVDDLLSEIRIRAAINERVLVTTLTKRMAEDLTDYLSEHGAKVRYLHSDIDTVERVEIIRDLRLGEFDVLVGINLLREGLDMPEVSLVAILDADKEGFLRSERSLIQTIGRAARNLNGKAILYGDRITASMEKAIGETERRRAKQQAYNEERRIIPQGLNKKIGDILQLGQPSMRGKGKGRGSHKMADTTQYQSLSPKALDQKIRELEAKMYTYAQNLEFEQAAELRDQVHQLRQQFIAIS