Q4QJX4 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihcu6enjmsty55cyu5g35i534f6ekxxid6cmasuvh7gshrv4smz5u/metadata.json
IPFS of structure file: 
bafybeiglgqsyudsgsxwejq6psdfanbq4bhn56qkz6yd6xtyd3hqrgbdrsu/AF-Q4QJX4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDD3aB6e93BD0af11af3690D795B32ac5330d24b9
First NFT owner address (bech32): 
genesis1m5atd6fm6zh3rtekjrtetve2c5es6f9ewmdm7m
Current NFT ID #493318 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493318
Accession (UniProt):
Q4QJX4
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN 86-028NP)

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 Q4QJX4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4QJX4|UVRB_HAEI8 UvrABC system protein B OS=Haemophilus influenzae (strain 86-028NP) OX=281310 GN=uvrB PE=3 SV=1 MSEKINTKPFILHSDFRPSGDQPQAIEKLAENLTDGLAHQTLLGVTGSGKTFTIANVIAQLNRPAMLLAPNKTLAAQLYAEMKAFFPENAVEYFVSYYDYYQPEAYVPSSDTFIEKDASINDQIEQMRLSATKSFLERRDTIVVASVSAIYGLGDPDSYLQMMLHLQQGAIIDQRQILAKLAELQYTRNDQAFQRGTFRVRGEIIDIFPAESDDRAVRIELFDDEIERLSLFDPLTGSSFGAVPRFTIYPKTHYVTPRERILDAIENIKKELVSRREYFIKEHKLLEEQRISQRTQFDIEMMNELGYCSGIENYSRYLSGRNEGEPPPTLFDYMPSDAILIIDESHVTVPQIGGMYRGDRSRKETLVEYGFRLPSALDNRPLRFEEFERLAPQTIYVSATPGPYELEKSGTEIIDQVVRPTGLLDPLIEIRPVSIQVDDLLSEARQRADKNERVLVTTLTKKMAEDLTDYLDEHGIRVRYLHSDIDTVERVEIIRDLRLGEFDVLVGINLLREGLDIPEVSLVAILDADKEGFLRSERSLIQTIGRAARNLNGKAILYADSITKSMEKAITETNRRREKQIKYNEEHGIVPQALNKKVGELLDIGQGANQKAKANKQRGKMAAEPTALYNAPKNAKEYQQQIKKLEQQMYKFAQDLEFEKAAAIRDQLHQLREQFVFDN